A. Bukowski, N. Vielot, C. Hoyo, M. Graff, M.R. Kosorok, W.R. Brewster, R.L. Maguire, S.K. Murphy, B. Nedjai, E. Ladoukakis, K.E. North, J.S. Smith (In press). Epigenome-wide differential methylation and differential variability as predictors of high-grade cervical intraepithelial neoplasia (CIN2+). American Journal of Epidemiology.
Y. Cui, J. Hannig, M.R. Kosorok (In press). A unified nonparametric fiducial approach to interval-censored data. Journal of the American Statistical Association.
N.L.B. Freeman, S.E. Browder, K.L. McGinigle, M.R. Kosorok (In press). Individualized treatment rule characterization via a value function surrogate. Biometrics.
A.R. Kahkoska, K. Shah, M.R. Kosorok, K. Miller, M. Rickels, R.S. Weinstock, L. Young, R.E. Pratley (In press). Estimation of a machine learning-based decision rule to reduce hypoglycemia among older adults with type 1 diabetes: A post-hoc analysis of continuous glucose monitoring in the WISDM study. Journal of Diabetes Science and Technology.
S. Kim, M.R. Kosorok, L. Arbeeva, T.A. Schwartz, L.F. Callahan, Y.M. Golightly, A.E. Nelson, K.D. Allen (In press). Precision medicine-based machine learning analyses to explore optimal exercise therapies for individuals with knee osteoarthritis: Random Forest Informed Tree-based Learning. Journal of Rheumatology.
K. Shah, L. Saiman, J.J. LiPuma, M.R. Kosorok, M.S. Muhlebach (In press). Association of Pseudomonas aeruginosa incident infections with adherence to Cystic Fibrosis Foundation care guidelines. Journal of Cystic Fibrosis.
J. Sperger, M.R. Kosorok, L. Linnan, S.M. Kneipp (In press). Multilevel intervention stepped wedge designs (MLI-SWDs). Prevention Science.
T. Wang, A.P. Keil, S. Kim, R. Wyss, P.T. Htoo, M. Jonsson Funk, J.B. Buse, M.R. Kosorok, T. Sturmer (In press). Iterative Causal Forest: A novel algorithm for subgroup identification. American Journal of Epidemiology.
T. Wang, V. Pate, R. Wyss, J.B. Buse, M.R. Kosorok, T. Sturmer (In press). High-dimensional Iterative Causal Forest (hdiCF): A Novel algorithm for subgroup Identification in claims data. American journal of Epidemiology.
H. Cho, J. She, D. De Marchi, H. El-Zaataria, E.L. Barnes, A.R. Kahkoska, M.R. Kosorok, A.V. Virkud (2024). Machine learning and health science research: Tutorial. Journal of Medical Internet Research 26:e50890 doi: 10.2196/50890
F. Yu, H.M. El-Zaatari, M.R. Kosorok, A. Carnegie, G. Dave (2024). The application of exponential random graph models to collaboration networks in biomedical and health sciences: a review. Network Modeling Analysis in Health Informatics and Bioinformatics 13, 5. https://doi.org/10.1007/s13721-023-00439-w
T.M. Zikry, S.C. Wolff, J.S. Ranek, H. Davis, A. Naugle, N. Luthra, A.A. Whitman, K.M. Kedziora, W. Stallaert, M.R. Kosorok, P.M. Spanheimer, J.E. Purvis (2024). Cell cycle plasticity underlies fractional resistance to palbociclib in ER+/HER- breast tumor cells. Proceedings of the National Academy of Sciences 121(7):e2309261121. https://doi.org/10.1073/pnas.2309261121
A. Bukowski, C. Hoyo, N. Vielot, M. Graff, M.R. Kosorok, W.R. Brewster, R.L Maguire, S.K. Murhpy, B. Nedjai, E. Ladoukakis, K.R. North, J.S. Smith (2023). Epigenome-wide methylation and progression to high-grade cervical intraepithelial neoplasia (CIN2+): A prospective cohort study in the United States. BMC Cancer 23:1072.
H. Cho, S.T. Holloway, D.J. Couper, M.R. Kosorok (2023). Multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring. Biometrika 110:395-410.
Y. Cui, M.R. Kosorok, E. Sverdrup, S. Wager, R. Zhu (2023). Estimating heterogeneous treatment effects with right-censored data via causal survival forests. Journal of the Royal Statistical Society, Series B 85:179-211.
D. Igudesman, J. Crandell, K.D. Corbin, D.P. Zaharieva, A. Addala, J.M. Thomas, C.M. Bulik, I.M. Carroll, B.W. Pence, R.E. Pratley, M.R. Kosorok, D.M. Maahs, E.J. Mayer-Davis (2023). Associations of disordered eating with the intestinal microbiota and short-chain fatty acids among young adults with type 1 diabetes. Nutrition, Metabolism, and Cardiovascular Disease 33:388-398.
D. Igudesman, J. Crandell, K.D. Corbin, D.P. Zaharieva, A. Addala, J.M. Thomas, A. Casu, M.S. Kirkman, T. Pokaprakarn, M.C. Riddell, K. Burger, R.E. Pratley, M.R. Kosorok, D.M. Maahs, E.J. Mayer-Davis for the ACT1ON Study Group (2023). Weight management in young adults with type 1 diabetes: The Advancing Care for Type 1 Diabetes and Obesity Network sequential multiple assignment randomized trial pilot results. Diabetes, Obesity and Metabolism 25:688-699.
X. Jiang, X. Zhou, M.R. Kosorok (2023). Deep doubly robust outcome weighted learning. Machine Learning. https://doi.org/10.1007/s10994-023-06484-w
A.R. Kahkoska, N.L.B. Freeman, E. Jones, D. Shirazi, S. Browder, A. Page, J. Sperger, T.M. Zikry, Y. Fei, J. Busby-Whitehead, M.R. Kosorok, J.A. Batsis (2023). Individualized interventions and precision health: Lessons from a systematic review and implications for analytics-driven geriatric research. Journal of the American Geriatrics Society 71:383-393.
E.H. Kim, C.A. Keet, Y.V. Virkud, S. Chin, P. Ye, A. Penumarti, J. Smeekens, R. Guo, X. Yue, Q. Li, M.R. Kosorok, M.D. Kulis, A.W. Burks (2023). Open-label study of the efficacy, safety and durability of peanut sublingual immunotherapy in peanut-allergic children. Journal of Allergy and Clinical Immunology 151:1558-1565.e6.
B.W. Langworthy, J. Cai, R.W. Corty, M.R. Kosorok, J.P. Fine (2023). Principal components analysis for right censored data. Statistica Sinica 33:1985-2016.
D. Lee, K. Zhang, M.R. Kosorok (2023). The binary expansion randomized ensemble test. Statistica Sinica 33:2381-2403.
P. Liu, J. Li, M.R. Kosorok (2023). Change plane model averaging for subgroup identification. Statistical Methods in Medical Research 32:773-788.
L. Montoya, M.R. Kosorok, E. Geng, J. Schwab, T. Odeny, M. Petersen (2023). Efficient and robust approaches for analysis of SMARTs: Illustration using the ADAPT-R trial. Biometrics 79:2577-2591.
N. Savy, E.E.M. Moodie, I. Drouet, A. Chambaz, B. Falissard, M.R. Kosorok, E.F. Krakow, D.G. Mayo, S. Senn, M. van der Laan (2023). Statistics, philosophy, and health: the SMAC 2021 Webconference. International Journal of Biostatistics 19: 261–269.
K. Shah, H. Fu, M.R. Kosorok (2023). Stabilized direct learning for efficient estimation of individualized treatment rules. Biometrics 79:2843-2856.
A.V. Virkud, P.P. Chang, M. Jonsson Funk, A.V. Kshirsagar, J.K. Edwards, V. Pate, M.R. Kosorok, E.W. Gower (2023). Comparative effect of loop diuretic prescription on mortality and heart failure readmission. The American Journal of Cardiology 210:208-216.
J.P. Zitovsky, D. de Marchi, R. Agarwal, M.R. Kosorok (2023). Revisiting Bellman errors for offline model selection. Proceedings of the 40th International Conference on Machine Learning (ICML) PMLR 202:43369-43406.
A. Adu-Amankwah, M.B. Bellad, A.M. Benson, T.K. Beyuo, M. Bhandankar, U. Charanthimath, M. Chisembele, S.R. Cole, S.M. Dhaded, C. Enweronu-Laryea, B.L. Freeman, N.L.B. Freeman, S.S. Goudar, X. Jiang, M.P. Kasaro, M.R. Kosorok, D. Luckett, F.M. Mbewe, S. Misra, K. Mutesu, M.A. Nuamah, S.A. Oppong, J.K. Patterson, M. Peterson, T. Pokaprakarn, J.T. Price, Y.V. Pujar, D.J. Rouse, Y.V. Sebastião, M.B. Spelke, J. Sperger, J.S.A. Stringer, M.G. Tuuli, M. Valancius, B. Vwalika, LABOR Study Group (2022). Limiting adverse birth outcomes in resource-limited settings (LABOR): protocol of a prospective intrapartum cohort study. Gates Open Research 6:115.
H. Cho, N.P. Jewell, M.R. Kosorok (2022). Interval censored recursive forests. Journal of Computational and Graphical Statistics 31:390-402.
K.D. Corbin, D. Igudesman, A. Addala, A. Casu, J. Crandell, M.R. Kosorok, D.M. Maahs, T. Pokaprakarn, R.E. Pratley, K.J. Souris, J.T. Dessi, P. Zaharieva, E. Mayer-Davis for the ACT1ON Consortium (2022). Design of the advancing care for type 1 diabetes and obesity network energy metabolism and sequential multiple assignment randomized trial nutrition pilot studies: An integrated approach to develop weight management solutions for individuals with type 1 diabetes. Contemporary Clinical Trials 117: Article 106765.
Y. Cui, R. Zhu, M. Zhou, M.R. Kosorok (2022). Consistency of survival tree and forest models: splitting bias and correction. Statistica Sinica 32:1245-1267.
G. Honvah, H. Cho, M.R. Kosorok (2022). Model selection for survival individualized treatment rules using the jackknife estimator. BMC Medical Research Methodoogy 22:328. https://doi.org/10.1186/s12874-022-01811-6
D. Igudesman, J. Crandell, K.D. Corbin, F. Muntis, D.P. Zaharieva, A. Casu, J.M. Thomas, C.M. Bulik, I.M. Carroll, B.W. Pence, R. Pratley, M.R. Kosorok, D.M. Maahs, E.J. Mayer-Davis (2022). The intestinal microbiota and short-chain fatty acids in association with advanced metrics of glycemia and adiposity among young adults with type 1 diabetes and overweight or obesity. Current Developments in Nutrition 6(10) nzac107, https://doi.org/10.1093/cdn/nzac107.
A.R. Kahkoska, K. Hassmiller Lich, M.R. Kosorok (2022). Focusing on optimality for the translation of precision medicine. Journal of Clinical and Translational Science e6: e118, 1–4. doi: 10.1017/cts.2022.438
A.R. Kahkoska, T. Pokaprakarn, G.R. Alexander, T.L. Crume, D. Dabelea, J. Divers, L.M. Dolan, E.T. Jensen, J.M. Lawrence, S. Marcovina, A.K. Mottl, C. Pihoker, S.H. Saydah, M.R. Kosorok, E.J. Mayer-Davis (2022). The impact of racial and ethnic health disparities in diabetes management on clinical outcomes: a reinforcement learning analysis of health inequity among youth and young adults in the SEARCH for Diabetes in Youth Study. Diabetes Care 45:108-118.
D. Lee, H. El-Zaatari, M.R. Kosorok, X. Li K. Zhang (2022). Comment on ‘Multiscale Fisher’s Independence Test for Multivariate Dependence’. Biometrika 109:597-603.
M.S. Muhlebach, X. Jiang, M.R. Kosorok, E.Y. Klein, L. Saiman (2022). Longitudinal changes and regional variation of incident infection rates at cystic fibrosis centers, United States 2010-2016. Journal of Cystic Fibrosis 21:34-39.
T. Pokaprakarn, R.R. Kitzmiller, J.R. Moorman, D.E. Lake, A.K. Krishnamurthy, M.R. Kosorok (2022). Sequence to sequence ECG cardiac rhythm classification using convolutional recurrent neural networks. IEEE Journal of Biomedical and Health Informatics 26:572-580.
T. Pokaprakarn, J.C. Prieto, J.T. Price, M.P. Kasaro, N. Sindano, H.R. Shah, M. Peterson, M.M. Akapelwa, F.M. Kapilya, Y.V. Sebastião, W. Goodnight, E.M. Stringer, B.L. Freeman, L.M. Montoya, B.H. Chi, D.J. Rouse, S.R. Cole, B. Vwalika, M.R. Kosorok, J.S. A. Stringer (2022). AI estimation of gestational age from blind ultrasound sweeps in low-resource settings. NEJM Evidence 1(5). doi.org/10.1056/EVIDoa2100058
P. Roy, J.P. Fine, M.R. Kosorok (2022). Efficiency of naive estimators for accelerated failure time models under length-biased sampling. Scandinavian Journal of Statistics 49:525-541.
W. Stoudemire, X. Jiang, J.J. Zhou, M.R. Kosorok, L. Saiman, M.S. Muhlebach (2022). Predicting risk-adjusted incidence rates of methicillin-resistant Staphylococcus aureus and Pseudomonas aeruginosa in cystic fibrosis programs in the United States. Journal of Cystic Fibrosis 21:1013-1019.
E.A. Willis, D. Hales, F.T. Smith, R. Burney, H.M. El-Zaatari, M.C. Rzepka, O. Amft, R. Barr, K.R. Evenson, M.R. Kosorok, D.S. Ward (2022). Feasibility and acceptability of wearable sensor placement for measuring screen time of children. Translational Journal of the American College of Sports Medicine 7(4):e000214. DOI: 10.1249/TJX.0000000000000214
A. Yazdani, A. Yazdani, R. Mendez-Giraldez, A. Samiei, M.R. Kosorok, D.J. Schaid (2022). From classical Mendelian randomization to causal networks for systematic integration of multi-omics. Frontiers in Genetics 13:990486. doi: 10.3389/fgene.2022.990486
E. Butler, M. Kosorok (2021). Design and analysis methods for developing personalized treatment rules. In: Handbook of Statistical Methods for Randomized Clinical Trials. Eds Kim KM, Bretz F, Cheung YK, Hampson LV. Chapman & Hall/CRC. Pages 487-508.
J. Chen, Q. Tran-Dinh, M. R. Kosorok, Y. Liu (2021). Identifying heterogeneous effect using latent supervised clustering with adaptive fusion. Journal of Computational and Graphical Statistics 30:43-54.
N.L.B. Freeman, J. Sperger, H. El-Zaatari, A.R. Kahkoska, M. Lu, M. Valancius, A.V. Virkud, T.M. Zikry, M. R. Kosorok (2021). Beyond two cultures: Cultural infrastructure for data-driven decision support. Observational Studies 7:77-94.
X. Jiang, A.E. Nelson, R.J. Cleveland, D.P. Beavers, T.A. Schwartz, L. Arbeeva, C. Alvarez. L.F. Callahan, S. Messier, R. Loeser, M.R. Kosorok (2021). A precision medicine approach to develop optimal exercise and weight loss treatment for overweight and obese adults with knee osteoarthritis. Arthritis Care & Research 73:693-701.
S. Kim, H. Cho, D. Bang, D. De Marchi, H. El-Zaatari, K.S. Shah, M. Valancius, T.M. Zikry, M.R. Kosorok (2021). Discussion of ‘Estimating time-varying causal excursion effect in mobile health with binary outcomes’ by T. Qian, H. Yoo, P. Klasnja, D. Almirall, S. Murphy. Biometrika 108:529-533.
R.C. Knickmeyer, C.T. Nguyen, J.T. Young, A. Haunton, M.R. Kosorok, J.H. Gilmore, M. Stynerh, D.A. Rothmond, P.L. Noble, R. Lenroot, C.S. Weickert (2021). Impact of gonadectomy on maturational changes in brain volume in adolescent macaques. Psychoneuroendocrinology 124:105068. doi.org/10.1016/j.psyneuen.2020.105068
M.R. Kosorok, E.B. Laber, D.S. Small, D. Zeng (2021). Introduction to the theory and methods special issue on precision medicine and individualized policy discovery. Journal of the American Statistical Association 116:159-161.
J. Li, Y. Li, B. Jin, M. R. Kosorok (2021). Multi-threshold change plane model: Estimation theory and applications in subgroup identification. Statistics In Medicine 30:3440-3459.
D.J. Luckett, E.B. Laber, S.S. El-Kamary, C. Fan, R. Jhaveri, C.M. Perou, F.M. Shebl, M.R. Kosorok (2021). Receiver operating characteristic curves and confidence bands for support vector machines. Biometrics 77:1422-1430.
D.J. Luckett, E.B. Laber, S. Kim, M.R. Kosorok (2021). Estimation and optimization of composite outcomes. Journal of Machine Learning Research 22(167):1-40.
K.L. McGinigle, N.L.B. Freeman, W.A. Marston, A. Farber, M. Conte, M. R. Kosorok, C.A. Kalbaugh (2021). Precision medicine enables more TNM-like staging in patients with chronic limb threatening ischemia. Frontiers in Cardiovascular Medicine 8:765. doi=10.3389/fcvm.2021.709904
N.U. Rashid, D.J. Luckett, J. Chen, M.T. Lawson, L. Wang, Y. Zhang, E.B. Laber, Y. Liu, J.J. Yeh, D. Zeng, M.R. Kosorok (2021). High dimensional precision medicine from patient-derived xenografts. Journal of the American Statistical Association 116:1140-1154.
, , , , , , , , , (2021). Development and validation of multivariable prediction models for adverse COVID-19 outcomes in IBD patients. BMJ Open
L. Tapak, M.R. Kosorok, M. Sadeghifar, O. Hamidi, S. Afshar, H. Doosti (2021). Regularized weighted non-parametric likelihood approach for high-dimension sparse subdistribution hazards model for Competing Risks data. Computational and Mathematical Methods in Medicine 2021:5169052. https://doi.org/10.1155/2021/5169052
A. Bellach, M. R. Kosorok, P. B. Gilbert, J. P. Fine (2020). General regression model for the subdistribution of a competing risk under left-truncation and right-censoring. Biometrika 107:949-964.
H. Cho, J. P. Zitovsky, X. Li, M. Lu, K. Shah, J. Sperger, M. C. B. Tsilimigras, M. R. Kosorok (2020). Comment: Diagnostics and kernel-based extensions for linear mixed effects models with endogenous covariates. Statistical Science 35:396-399.
P. W. W. Gamage, M. Chaudari, C. S. McMahan, E. H. Kim, M. R. Kosorok (2020). A proportional hazards model for interval-censored data subject to instantaneous failures. Lifetime Data Analysis 26:158-182.
E. S. Helgeson, Q. Liu, G. Chen, M. R. Kosorok, E. Bair (2020). Biclustering via sparse clustering. Biometrics 1:348-358.
D. Igudesman, J. Crandell, V.W. Zhong, A. Cristello Sarteau, A.R. Kahkoska, K. Corbin, R. Pratley, M.R. Kosorok, D.M. Maahs, E.J. Mayer-Davis (2020). Dietary intake on days with and without hypoglycemia in youth with type 1 diabetes: The Flexible Lifestyle Empowering Change trial. Pediatric Diabetes 21:1475-1484.
A. Ivanova, E. Israel, L.M. LaVange, M.C. Peters, L.C. Denlinger, W.C. Moore, L.B. Bacharier, M.A. Marquis, N.M. Gotman, M.R. Kosorok, C. Tomlinson, D.T. Mauger, S.N. Georas, R.J. Wright, P. Noel, G.L. Rosner, P. Akuthota, D. Billheimer, E.R. Bleecker, J.C. Cardet, M. Castro, E.A. DiMango, S.C. Erzurum, J.V. Fahy, M.L. Fajt, B.M. Gaston, F. Holguin, S. Jai, N.J. Kenyon, J.A. Krishnan, M. Kraft, R. Kumar, M.C. Liu , N.P. Ly, J.N. Moy, W. Phipatanakul, K. Ross, L.J. Smith, S.J. Szefler, W.G. Teague, M.E. Wechsler, S.E. Wenzel, S.R. White (2020). The precision interventions for severe and/or exacerbation-prone asthma (PrecISE) adaptive platform trial: statistical considerations. Journal of Biopharmaceutical Statistics 30:1026-1037.
A.R. Kahkoska, C. Nguyen, X. Jiang, L.A. Adair, S. Agarwal, A.E. Aiello, K.S. Burger, J.B. Buse, D. Dabelea, L.M. Dolan, G. Imperatore, J.M. Lawrence, S. Marcovina, C. Pihoker, B.A. Reboussin, K.A. Sauder, M.R. Kosorok, E.J. Mayer-Davis (2020). Characterizing the weight-glycemia phenotype of type 1 diabetes in youth and young adulthood. BMJ Open Diabetes Research and Care
D. J. Luckett, E. B. Laber, A. R. Kahkoska, D. M. Maahs, E. Mayer-Davis, M. R. Kosorok (2020). Estimating dynamic treatment regimes in mobile health using V-learning. Journal of the American Statistical Association 115:692-706.
C. T. Nguyen, D. J. Luckett, A. R. Kahkoska, G. E. Shearrer, D. Spruijt-Metz, J. N. Davis, M. R. Kosorok (2020). Estimating individualized treatment regimes from crossover designs. Biometrics 76:778-788.
J. Sperger, N. L. B. Freeman, X. Jiang, D. Bang, D. de Marchi, M. R. Kosorok (2020). The future of precision health is data-driven decision support. Statistical Analysis and Data Mining 13:537-543.
A. Yazdani, R. Mendez-Giraldez, A. Yazdani, M. R. Kosorok, P. Roussos (2020). Differential gene regulatory pattern in the human brain from schizophrenia using transcriptomic-causal network. BMC Bioinformatics 21:469. https://doi.org/10.1186/s12859-020-03753-6
L. Zhu, W. Lu, M. R. Kosorok, R. Song (2020). Kernel assisted learning for personalized dose finding. Proceedings of the 26th SIGKDD Conference on Knowledge Discovery and Data Mining. Pages 56-65. https://doi.org/10.1145/3394486.3403048
A. Bellach, M. R. Kosorok, L. Ruschendorf, J. P. Fine (2019). Weighted NPMLE for the subdistribution of a competing risk. Journal of the American Statistical Association 114:259-270.
S. Dasgupta, Y. Goldberg, M. R. Kosorok (2019). Feature elimination in kernel machines in moderately high dimensions. Annals of Statistics 47:497-526.
N. L. B. Freeman, X. Jiang, O. E. Leete, D. J. Luckett, T. Pokaprakarn, M. R. Kosorok (2019). Comment: Models as approximations. Statistical Science 34:572-574.
V. Gares, C. Dimeglio, G. Guernec, R. Fantin, B. Lepage, M. R. Kosorok, N. Savy (2019). On the use of optimal transportation theory to recode variables and application to database merging. International Journal of Biostatistics 16(1), 20180106. doi: https://doi.org/10.1515/ijb-2018-0106
A. R. Kahkoska, L. A. Adair, A. E. Aiello, K. Burger, J. B. Buse, J. Crandell, D. M. Maahs, C. T. Nguyen, M. R. Kosorok, E. J. Mayer-Davis (2019). Identification of clinically-relevant dysglycemia phenotypes based on continuous glucose monitoring data from youth with type 1 diabetes and elevated hemoglobin A1c. Pediatric Diabetes 20:556-566.
A. R. Kahkoska, M. T. Lawson, J. Crandell, K. A. Driscoll, J. C. Kichler, M. Seid, D. M. Maahs, M. R. Kosorok, E. J. Mayer-Davis (2019). Assessment of a Precision Medicine Analysis of a Behavioral Counseling Strategy to Improve Adherence to Diabetes Self-Management Among Youth: A Post Hoc Individualized Treatment Rule Analysis of the Flexible Lifestyles Empowering Change (FLEX) Trial. JAMA Network Open 2(5):e195137. doi:10.1001/jamanetworkopen.2019.5137.
A. R. Kahkoska, C. T. Nguyen, L. A. Adair, A. E. Aiello, K. S. Burger, J. B. Buse, D. Dabelea, L. M. Dolan, F. S. Malik, A. K. Mottl, C. Pihoker, B. A. Reboussin, K. A. Sauder, M. R. Kosorok, E. J. Mayer-Davis (2019). Longitudinal phenotypes of type 1 diabetes in youth based on weight and glycemia and their association with complications. Journal of Clinical Endocrinology and Metabolism 104:6003-6016.
M. R. Kosorok, E. B. Laber (2019). Precision medicine. Annual Review of Statistics and Its Application 6:263-286.
W. Stoudemire, X. Jiang, J. J. Zhou, P. Maykowski, M. R. Kosorok, M. S. Muhleback, L. Saiman (2019). Cystic fibrosis program characteristics associated with adoption of 2013 infection prevention and control recommendations. Journal of Infection Control 47:1090-1095.
A. Yazdani, A. Yazdani, S. H. Elsea, D. J. Schaid, M. R. Kosorok, G. Dangol, A. Samiei (2019). Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics. BMC Genomics 20:395. https://doi.org/10.1186/s12864-019-5772-4
T. M. Zikry, K. M. Kedziora, M. R. Kosorok, J. E. Purvis (2019). In and out of the nucleus: CNN based segmentation of cell nuclei from images of a translocating sensor. PEARC ’19 Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning). Article No. 70. ACM: New York.
E. L. Butler, E. B. Laber, S. M. Davis, M. R. Kosorok (2018). Incorporating patient preferences into estimation of optimal individualized treatment rules. Biometrics 74:18-26.
M. Chaudhari, E. H. Kim, P. W. Withana Gamage, C. S. McMahan, M. R. Kosorok (2018). Study design with staggered sampling times for evaluating sustained unresponsiveness to peanut sublingual immunotherapy. Statistics in Medicine 37:3944-3958.
G. Chen, M. R. Kosorok, X. Zhou (2018). Nonconvex Optimization. Wiley StatsRef: Statistics Reference Online. 1–9.
J. Chen, H. Fu, X. He, M. R. Kosorok, Y. Liu (2018). Estimating individualized treatment rules for ordinal treatments. Biometrics 74:924-933.
J. Chen, C. Zhang, M. R. Kosorok, Y. Liu (2018). Double sparsity kernel learning with automatic variable selection and data extraction (with discussion and rejoinder). Statistics and Its Interface 11:401-431.
A. Di Florio, K. Gordan-Smith, L. Forty, M. R. Kosorok, C. Fraser, A. Perry, A. Bethell, N. Craddock, L. Jones, I. Jones (2018). Stratification of the risk of bipolar disorder recurrences in pregnancy and postpartum. British Journal of Psychiatry 213:542-547.
I. El Naqa, M. R. Kosorok, J. Jin, M. Mierzwa, R. K. Ten Haken (2018). Prospects and challenges for clinical decision support in the era of big data. Journal of Clinical Oncology Clinical Cancer Imformatics 2: doi: 10.1200/CCI.18.00002
J. C. Hibbard, J. S. Friedstat, S. M. Davis, R. E. Edkins, C. S. Hultman, M. R. Kosorok (2018). LIBERTY: A SMART study in plastic surgery. Clinical Trials 15:286-293.
M. T. Lawson, H. Cho, A. Choudhury, Y. Cui, X. Jiang, T. Pokaprakarn, M. R. Kosorok (2018). Discussion of Laber et al. “Optimal treatment allocations in space and time for on-line control of an emerging infectious disease.” Journal of the Royal Statistical Society Series C 67:779-780.
Y. Liu, Y. Wang, M. R. Kosorok, Y. Zhao, D. Zeng (2018). Augmented outcome-weighted learning for estimating optimal dynamic treatment regimes. Statistics in Medicine 37:3776-3788.
L. Saiman, J. J. Zhou, X. Jiang, M. R. Kosorok, M. S. Muhlebach (2018). Surveying cystic fibrosis care centers to assess adoption of infection prevention and control recommendations. Infection Control and Hospital Epidemiology 39:647-651.
L. Tapak, M. R. Kosorok, M. Sadeghifar, O. Hamidi (2018). Multistate Recursively Imputed Survival Trees for time-to-event data Analysis: An application to AIDS and mortality post-HIV infection data. BMC Medical Research Methodology 18:129.
S.J. Teran Hidalgo, M.C. Wu, S.E. Engel, M. R. Kosorok (2018). Goodness-of-fit test for nonparametric regression models: Smoothing spline ANOVA models as example. Computational Statistics and Data Analysis 122:135-155.
S. Wei, M. R. Kosorok (2018). The change-plane Cox model. Biometrika 105:891-903.
Y. Cui, R. Zhu, M. R. Kosorok (2017). Tree based weighted learning for estimating individualized treatment rules with censored data. Electronic Journal of Statistics 11:3927-3953.
P. Diegidio, S. Hermiz, J. Hibbard, M. R. Kosorok, C. S. Hultman (2017). Hypertrophic burn scar research: From quantitative assessment to designing clinical sequential multiple assignment randomized trials. Clinics in Plastic Surgery 44:917-924.
Y. Goldberg, M. R. Kosorok (2017). Support vector regression for right censored data. Electronic Journal of Statistics 11:532-569.
Q. Zhang, M. R. Kosorok (2017). Statistical monitoring of clinical trials using Brownian bridges. International Journal of Statistics and Probability 6:142-151.
X. Zhou, N. Mayer-Hamblett, U. Khan, M. R. Kosorok (2017). Residual weighted learning for estimating individualized treatment rules. Journal of the American Statistical Association 112:169-187.
G. Chen, Y. Liu, D. Shen, M. R. Kosorok (2016). Composite large margin classifiers with latent subclasses for heterogeneous biomedical data. Statistical Analysis and Data Mining 9:75-88.
J. Chen, Y. Liu, D. Zeng, R. Song, Y. Q. Zhao, M. R. Kosorok (2016). Comment on “Bayesian nonparametric estimation for dynamic treatment regimes with sequential transition times” by Y. Xu, P. Müller, A. S. Wahed, P. F. Thall. Journal of the American Statistical Association 111:942-947.
G. Chen, D. Zeng, M. R. Kosorok (2016). Personalized dose finding using outcome weighted learning (with discussion and rejoinder). Journal of the American Statistical Association 111:1509-1547.
E. B. Laber, Y. Q. Zhao, T. Regh, M. Davidian, A. Tsiatis, J. B. Stanford, D. Zeng, R. Song, M. R. Kosorok (2016). Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy. Statistics in Medicine 35:1245-1256.
R. Song, M. Banerjee, M. R. Kosorok (2016). Asymptotics for change-point models under varying degrees of mis-specification. Annals of Statistics 44:153-182.
S. J. Teran Hidalgo, M. T. Lawson, D. J. Luckett, M. Chaudhari, J. Chen, A. Choudhury, A. Di Florio, X. Jiang, C. T. Nguyen, M. R. Kosorok (2016). A master pipeline for discovery and validation of biomarkers. In: Machine Learning for Health Informatics: State-of-the-Art and Future Challenges. Ed Holzinger A. Springer International Publishing. Pages 259-288.
E. Holdsworth La, R. Zhu, K. Hassmiller Lich, A. R. Ellis, M. S. Swartz, M. R. Kosorok, J. P. Morrissey (2015). The effects of state psychiatric hospital waitlist policies on length of stay and time to readmission. Administration and Policy in Mental Health 42:332-342.
R. Song, M. R. Kosorok, D. Zeng, Y. Q. Zhao, E. B. Laber, M. Yuan (2015). On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning. Stat 4:59-68.
R. Song, W. Wang, D. Zeng, M. R. Kosorok (2015). Penalized Q-learning for dynamic treatment regimens. Statistica Sinica 25:901-920.
Y. Q. Zhao, D. Zeng, E. B. Laber, M. R. Kosorok (2015). New statistical learning methods for estimating optimal dynamic treatment regimes. Journal of the American Statistical Association 110:583-598.
Y. Q. Zhao, D. Zeng, E. B. Laber, R. Song, M. Yuan, M. R. Kosorok (2015). Doubly robust learning for estimating individualized treatment with censored data. Biometrika 102:151-168.
R. Zhu, D. Zeng, M. R. Kosorok (2015). Reinforcement learning trees. Journal of the American Statistical Association 110:1770-1784.
Y. Goldberg, R. Song, D. Zeng, M. R. Kosorok (2014). Comment on “Dynamic treatment regimes: technical challenges and applications” by E. B. Laber, D. J. Lizotte, M. Qian, W. E. Pelham, and S. A. Murphy. Electronic Journal of Statistics 8:1290-1300.
Z. Ren, M. Davidian, S. L. George, R. M. Goldberg, F. A. Wright, A. A. Tsiatis, M. R. Kosorok (2014). Research methods for clinical trials in personalized medicine: a systematic review. In: Lost in Translation: Barriers to Incentives for Translational Research in Medical Sciences. Eds. R. Srivastava, W. Maksymowicz, W. Lopaczynski. World Scientific: Singapore. Pages 659-684.
R. Song, M. R. Kosorok, J. P. Fine (2014). Discussion of “Multiscale change point inference” by K. Frick, A. Munk and H. Sieling. Journal of the Royal Statistical Society, Series B 76:564.
Y. Q. Zhao, M. R. Kosorok (2014). Discussion on “Combining biomarkers to optimize patient treatment recommendations” by C. Y. Kang, H. Janes, and Y. Huang. Biometrics 70:713-716.
H. Cao, L. M. LaVange, J. F. Heyse, T. C. Mast, M. R. Kosorok (2013). Medical records based post-marketing safety evaluation of rare events with uncertain status. Journal of Biopharmaceutical Statistics 23:201-212.
H. Cao, W. Sun, M. R. Kosorok (2013). The optimal power puzzle: scrutiny of the monotone likelihood ratio assumption in multiple testing. Biometrika 100:495-502.
G. Chen, P. F. Sullivan, M. R. Kosorok (2013). Biclustering with heterogeneous variance. Proceedings of the National Academy of Sciences 110:12253-12258.
K. Ding, M. R. Kosorok, D. Zeng (2013). On the local and stratified likelihood approaches in single-index hazards model. Communications in Mathematics and Statistics 1:115-132.
Y. Goldberg, R. Song, M. R. Kosorok (2013). Adaptive Q-learning. In: From Probability to Statistics and Back: High-Dimensional Models and Processes — A Festschrift in Honor of Jon Wellner. Eds. M. Banerjee, F. Bunea, J. Huang, V. Koltchinskii, M. H. Maathuis. Collections, Volume 9. Institute of Mathematical Statistics: Beachwood, OH. Pages 150-162.
J. H. Monaco, J. Cai, L. M. LaVange, M. R. Kosorok (2013). History of the Department of Biostatistics at the University of North Carolina at Chapel Hill. In: Strength in Numbers: The Rising of Academic Statistics Departments in the U. S. Eds Agresti AA, Meng X-L. Springer: New York. Pages 453-468.
S. Wei, M. R. Kosorok (2013). Latent supervised learning. Journal of the American Statistical Association 108:957-970.
W. R. Carpenter, A. M. Meyer, A. P. Abernethy, T. Sturmer, M. R. Kosorok (2012). A framework for understanding cancer comparative effectiveness research data needs. Journal of Clinical Epidemiology 65:1150-1158.
Y. Goldberg, M. R. Kosorok (2012). Q-learning with censored data. Annals of Statistics 40:529-560.
Y. Goldberg, M. R. Kosorok (2012). An exponential bound for Cox regression. Statistics and Probability Letters 82:1267-1272.
C. Kang, H. Zhu, F. A. Wright, F. Zou, M. R. Kosorok (2012). The interactive decision committee for chemical toxicity analysis. Journal of Statistical Research 46:157-186.
Z. Li, D. B. Sanders, M. J. Rock, M. R. Kosorok, J. Collins, C. G. Green, A. S. Brody, P. M. Farrell (2012). Regional differences in the evolution of lung disease in children with cystic fibrosis. Pediatric Pulmonology 47:635-640.
A. M. Meyer, W. R. Carpenter, A. P. Abernethy, T. Sturmer, M. R. Kosorok (2012). Data for cancer comparative effectiveness research: Past, present, and future potential. Cancer 118:5186-5197.
R. Tang, M. Banerjee, M. R. Kosorok (2012). Likelihood based inference for current status data on a grid: A boundary phenomenon and an adaptive inference procedure. Annals of Statistics 40:45-72.
Y. Q. Zhao, D. Zeng, A. J. Rush, M. R. Kosorok (2012). Estimating individualized treatment rules using outcome weighted learning. Journal of the American Statistical Association 107:1106-1118.
R. Zhu, M. R. Kosorok (2012). Recursively imputed survival trees. Journal of the American Statistical Association 107:331-340.
H. Cao, M. R. Kosorok (2011). Simultaneous critical values for t-tests in very high dimensions. Bernoulli 17:347-394.
Y. Goldberg, M. R. Kosorok (2011). Comment on “Adaptive confidence intervals for the test error in classification” by E. B. Labor and S. A. Murphy. Journal of the American Statistical Association 106:920-924.
S. Ma, M. R. Kosorok, J. Huang, Y. Da (2011). Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysis. BMC Medical Genomics 4:5.
N. Nadkarni, Y. Q. Zhao, M. R. Kosorok (2011). Inverse regression estimation for censored data. Journal of the American Statistical Association 106:178-190.
Y. Q. Zhao, D. Zeng, A. H. Herring, A. Ising, A. Waller, D. Richardson, M. R. Kosorok (2011). Detecting disease outbreaks using local spatiotemporal methods. Biometrics 67:1508-1517. (Winner of both the 2011 International Biometrics Society Best Paper in Biometrics Award and the 2010 American Statistical Association Statistics in Epidemiology Young Investigator Award.)
Y. F. Zhao, D. Zeng, M. A. Socinski, M. R. Kosorok (2011). Reinforcement learning strategies for clinical trials in non-small cell lung cancer. Biometrics 67:1422-1433. (A poster based on this paper was the Third Place Winner of the 2011 American Statistical Association Biopharmaceutical Section Poster Award Competition.)
X. Han, Y. Li, J. Huang, Y. Zhang, T. Holford, Q. Lan, N. Rothman, T. Zheng, M. R. Kosorok, S. Ma (2010). Identification of predictive pathways for non-Hodgkin lymphoma prognosis. Cancer Informatics 9:281-292.
S. Ma, M. R. Kosorok (2010). Detection of gene pathways with predictive power for breast cancer prognosis. BMC Bioinformatics 11:1. (Designated “Highly accessed” by BioMed Central.)
I. S. Anand, P. Carson, E. Galle, R. Song, J. Boehmer, J. Ghali, B. Jaski, J. Lindenfeld, C. O’Connor, J. Steinberg, J. Leigh, P.Yong, M. R. Kosorok, A. M. Feldman, D. DeMets, M. Bristow (2009). Cardiac resynchronization therapy reduces the risk of hospitalizations in patients with advanced heart failure: results from the COMPANION trial. Circulation 119:3093-3100.
Y. Cheng, J. P. Fine, M. R. Kosorok (2009). Nonparametric association analysis of exchangeable clustered competing risks data. Biometrics 65:385-393.
G. Cheng, M. R. Kosorok (2009). The penalized profile sampler. Journal of Multivariate Analysis 100:345-362.
P. M. Farrell, J. Collins, L. S. Broderick, M. J. Rock, Z. Li, M. R. Kosorok, A. Laxova, W. M. Gershan, A. S. Brody (2009). Association between mucoid Pseudomonas infection and bronchiectasis in children with cystic fibrosis. Radiology 252:534-543.
M. R. Kosorok (2009). What’s so special about semiparametric methods? (with discussion and rejoinder). Sankhya 71-A:331-371.
M. R. Kosorok (2009). Discussion of: Brownian distance covariance. Annals of Applied Statistics 4:1270-1278.
S. Ma, M. R. Kosorok (2009). Identification of differential gene pathways with principal component analysis. Bioinformatics 25:882-889.
R. Song, M. R. Kosorok, J. P. Fine (2009). On asymptotically optimal tests under loss of identifiability in semiparametric models. Annals of Statistics 37:2409-2444.
R. Song, H. Zhou, M. R. Kosorok (2009). On semiparametric efficient inference for two-stage outcome-dependent sampling with a continuous outcome. Biometrika 96:221-228.
Y. F. Zhao, M. R. Kosorok, D. Zeng (2009). Reinforcement learning design for cancer clinical trials. Statistics in Medicine 28:3294-3315.
G. Cheng, M. R. Kosorok (2008). Higher order semiparametric frequentist inference with the profile sampler. Annals of Statistics 36:1786-1818.
G. Cheng, M. R. Kosorok (2008). General frequentist properties of the posterior profile distribution. Annals of Statistics 36:1819-1853.
M. R. Kosorok (2008). Bootstrapping the Grenander estimator. In: Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor Pranab K. Sen. Eds. N. Balakrishnan, E. A. Peña, M. J. Silvapulle. Collections, Volume 1. Institute of Mathematical Statistics: Beachwood, OH. Pages 282-292.
M. R. Kosorok (2008). Semiparametric maximum-likelihood inference in survival analysis. In: Statistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics. Eds. A. Biswas, S. Datta, J. P. Fine, M. R. Segal. Wiley: New York. Pages 159-175.
R. Song, T. D. Cook, M. R. Kosorok (2008). What we want versus what we can get: A closer look at failure time endpoints for cardiovascular studies. Journal of Biopharmaceutical Statistics 18:370-381.
R. Song, M. R. Kosorok, J. Cai (2008). Robust covariate-adjusted log-rank statistics and corresponding sample size formula for recurrent events data. Biometrics 64:741-750.
Y. Cheng, J. P. Fine, M. R. Kosorok (2007). Nonparametric analysis of multivariate competing risks data. Journal of the American Statistical Association 102:1407-1415.
M. R. Kosorok (2007). Discussion on “Maximum likelihood estimation in semiparametric regression models with censored data” by D. Zeng, D. Y. Lin. Journal of the Royal Statistical Society, Series B 69:551-552.
M. R. Kosorok, J. P. Fine (2007). Comment on “Implementation of estimating function-based inference procedures with Markov chain Monte Carlo samplers” by L. Tian, J. S. Liu, L. J. Wei. Journal of the American Statistical Association 102:896-897.
M. R. Kosorok, S. Ma (2007). Marginal asymptotics for the “large p, small n” paradigm: with applications to microarray data. Annals of Statistics 35:1456-1486.
M. R. Kosorok, R. Song (2007). Inference under right censoring for transformation models with a change point based on a covariate threshold. Annals of Statistics 35:957-989.
A. T. Braun, P. M. Farrell, C. Ferec, M. P. Audrezet, A. Laxova, Z. Li, M. R. Kosorok, W. M. Gershan (2006). Cystic fibrosis mutations and genotype-pulmonary phenotype analysis. Journal of Cystic Fibrosis 5:33-41.
A. S. Brody, M. R. Kosorok, Z. Li, L. S. Broderick, J. L. Foster, A. Laxova, H. Bandla, P. M. Farrell (2006). Reproducibility of a scoring system for computerized tomography scanning in cystic fibrosis. Journal of Thoracic Imaging 21:14-21.
M. R. Kosorok, R. E. Gangnon (2006). Resolving the tail instability in weighted log-rank statistics for clustered survival data. Statistics and Probability Letters 76:304-309.
S. Ma, M. R. Kosorok (2006). Adaptive penalized M-estimation with current status data. Annals of the Institute of Statistical Mathematics 58:511-526.
S. Ma, M. R. Kosorok, J. P. Fine (2006). Additive risk models for survival data with high dimensional covariates. Biometrics 62:202-210.
S. Ma, M. R. Kosorok, J. Huang, H. Xie, L. Manzella, M. B. Soares (2006). Robust semiparametric cDNA microarray normalization and significance analysis. Biometrics 62:555-561.
R. Corech, A. Rao, A. Laxova, J. Moss, M. J. Rock, Z. Li, M. R. Kosorok, M. L. Splaingard, P. M. Farrell, J. T. Barbieri (2005). Early immune response to the type-III system of Pseudomonas aeruginosa in children with cystic fibrosis. Journal of Clinical Microbiology 43:3956-3962.
J. R. Dixon, M. R. Kosorok, B. L. Lee (2005). Functional inference in semiparametric models using the piggyback bootstrap. Annals of the Institute of Statistical Mathematics 57:255-277.
K. H. Eng, M. R. Kosorok (2005). A sample size formula for the supremum log-rank statistic. Biometrics 61:86-91.
P. M. Farrell, H.-C. Lai, Z. Li, M. R. Kosorok, A. Laxova, C. G. Green, J. Collins, G. Hoffman, R. Laessig, M. J. Rock, M. L. Splaingard (2005). Evidence on improved outcomes with early diagnosis of cystic fibrosis through neonatal screening: Enough is enough! Journal of Pediatrics 147:S30-S35.
G. R. Gourley, Z. Li, B. L. Kreamer, M. R. Kosorok (2005). A controlled, randomized, double-blind trial of prophylaxis against jaundice in breastfed newborns. Pediatrics 116:392-399.
H. Jiang, J. P. Fine, M. R. Kosorok, R. J. Chappell (2005). Pseudo self-consistent estimation of a copula model with informative censoring. Scandinavian Journal of Statistics 32:1-20.
R. L. Koscik, H.-C. Lai, A. Laxova, K. M. Zaremba, M. R. Kosorok, J. A. Douglas, M. J. Rock, M. L. Splaingard, P. M. Farrell (2005). Preventing early, prolonged vitamin E deficiency: An opportunity for better cognitive outcomes via early diagnosis through neonatal screening. Journal of Pediatrics 147:S51-S56.
M. R. Kosorok, S. Ma (2005). Comment on “Semilinear high-dimensional model for normalization of microarray data: A theoretical analysis and partial consistency” by J. Fan, H. Peng, T. Huang. Journal of the American Statistical Association 100:805-807.
B. L. Lee, M. R. Kosorok, J. P. Fine (2005). The profile sampler. Journal of the American Statistical Association 100:960-969.
Z. Li, M. R. Kosorok, P. M. Farrell, A. Laxova, S. E. H. West, C. G. Green, J. Collins, M. J. Rock, M. L. Splaingard (2005). Longitudinal development of mucoid Pseudomonas aeruginosa infection and lung disease progression in children with cystic fibrosis. Journal of the American Medical Association 293:581-588.
S. Ma, M. R. Kosorok (2005). Penalized log-likelihood estimation for partly linear transformation models with current status data. Annals of Statistics 33:2256-2290.
S. Ma, M. R. Kosorok (2005). Robust semiparametric M-estimation and the weighted bootstrap. Journal of Multivariate Analysis 96:190-217.
T. D. Cook, M. R. Kosorok (2004). Analysis of time-to-event data with incomplete event adjudication. Journal of the American Statistical Association 99:1140-1152.
J. P. Fine, J. Yan, and M. R. Kosorok (2004). Temporal process regression. Biometrika 91:683-703.
R. E. Gangnon and M. R. Kosorok (2004). Sample-size formula for clustered survival data using weighted log-rank statistics. Biometrika 91:263-275.
R. L. Koscik, P. M. Farrell, M. R. Kosorok, K. M. Zaremba, A. Laxova, H.-C. Lai, J. A. Douglas, M. J. Rock, and M. L. Splaingard (2004). Cognitive function of children with cystic fibrosis: Deleterious effect of early malnutrition. Pediatrics 113:1549-1558.
M. R. Kosorok, B. L. Lee, and J. P. Fine (2004). Robust inference for univariate proportional hazards frailty regression models. Annals of Statistics 32:1448-1491.
M. R. Kosorok, Y. Shi, and D. L. DeMets (2004). Design and analysis of group sequential clinical trials with multiple primary endpoints. Biometrics 60:134-145.
H.-C. Lai, Y. Cheng, H. Cho, M. R. Kosorok, and P. M. Farrell (2004). Relationship between initial disease presentation, lung disease outcomes and survival in patients with cystic fibrosis. American Journal of Epidemiology 159:537-546.
Z. Li, H.-C. Lai, M. R. Kosorok, A. Laxova, M. J. Rock, M. L. Splaingard, P. M. Farrell (2004). Longitudinal pulmonary status of cystic fibrosis children with meconium ileus. Pediatric Pulmonology 38:277-284.
P. M. Farrell, Z. Li, M. R. Kosorok, A. Laxova, C. G. Green, J. Collins, H.-C. Lai, M. J. Rock, and M. L. Splaingard (2003). Bronchopulmonary disease in children with cystic fibrosis after early or delayed diagnosis. American Journal Of Respiratory and Critical Care Medicine 168:1100-1108.
P. M. Farrell, Z. Li, M. R. Kosorok, A. Laxova, C. G. Green, J. Collins, H.-C. Lai, L. M. Makholm, M. J. Rock, and M. L. Splaingard (2003). Longitudinal evaluation of bronchopulmonary disease in children with cystic fibrosis. Pediatric Pulmonology 36:230-240.
M. R. Kosorok (2003). Bootstraps of independent but not identically distributed stochastic processes. Journal of Multivariate Analysis 84:299-318.
M. Potegal, M. R. Kosorok, and R. J. Davidson (2003). Temper tantrums in young children: 2. Tantrum duration and temporal organization. Journal of Developmental and Behavioral Pediatrics 24:148-154.
S. E. H West, L. Zeng, B. L. Lee, M. R. Kosorok, A. Laxova, M. J. Rock, M. J. Splaingard, and P. M. Farrell (2003). Respiratory infections with Pseudomonas aeruginosa in children with cystic fibrosis: Early detection by serology and assessment of risk factors. Journal of the American Medical Association 287:2968-2972.
J. E. Gern, M. S. Martin, K. A. Anklam, K. Shen, K. A. Roberg, K. T. Carlson-Dakes, K. Adler, S. Gilbertson White, R. Hamilton, P. A. Shult, C. J. Kirk, D. F. Da Silva, S. A. Sund, M. R. Kosorok, and R. F. Lemanske Jr. (2002). Relationships among specific viral pathogens, virus-induced interleukin-8, and respiratory symptoms in infancy. Pediatric Allergy and Immunology 13:386-393.
P. B. Gilbert, L. J. Wei, M. R. Kosorok, and J. D. Clemens (2002). Simultaneous inferences on the contrast of two hazard functions with censored observations. Biometrics 58:773-780.
M. R. Kosorok (2002). On global consistency of a bivariate survival estimator under univariate censoring. Statistics and Probability Letters 56:439-446.
M. R. Kosorok, J. P. Fine, H. Jiang, amd R. J. Chappell (2002). Asymptotic theory for the gamma frailty model with dependent censoring. Annals of the Institute of Statistical Mathematics 54:476-499.
H.-C. Lai, M. R. Kosorok, A. Laxova, L. M. Makholm, and P. M. Farrell (2002). Delayed diagnosis in females with cystic fibrosis. American Journal of Epidemiology 156:165-173.
P. M. Farrell, M. R. Kosorok, M. J. Rock, A. Laxova, L. Zeng, H.-C. Lai, G. Hoffman, R. H. Laessig, M. L. Splaingard, and the Wisconsin Cystic Fibrosis Neonatal Screening Study Group (2001). Early diagnosis of cystic fibrosis through neonatal screening prevents severe malnutrition and improves long-term growth. Pediatrics 107:1-13.
M. R. Kosorok, L. Zeng, S. E. H. West, M. J. Rock, M. L. Splaingard, A. Laxova, C. G. Green, J. Collins, and P. M. Farrell (2001). Acceleration of lung disease in children with cystic fibrosis after Pseudomonas aeruginosa acquisition. Pediatric Pulmonology 32:277-287.
K. Pridham, M. R. Kosorok, F. Greer, S. Kayata, A. Bhattacharya, and P. Grunwald (2001). Comparison of caloric intake and weight outcomes of an ad lib feeding regimen for preterm infants in two nurseries. Journal of Advanced Nursing 35:751-759.
M. Jalaluddin and M. R. Kosorok (2000). An algorithm for robust inference for the Cox model with frailties. Journal of Computational and Graphical Statistics 9:642-652. (One of four winners of the 1999 ASA Statistical Computing Section Student Paper Competition.)
P. S. Karofsky, L. Zeng, and M. R. Kosorok (2000). The relationship between adolescent-parental communication and the initiation of first intercourse by adolescents. Journal of Adolescent Health 28:41-45.
R. E. Koscik, M. R. Kosorok, P. M. Farrell, J. Collins, M. E. Peters, A. Laxova, C. G. Green, L. Zeng, L. S. Rusakow, R. C. Hardie, P. W. Campbell, and J. W. Gurney (2000). The Wisconsin Cystic Fibrosis Chest Radiograph Scoring System: Validation and standardization for application to longitudinal studies. Pediatric Pulmonology 29:457-467.
M. R. Kosorok (2000). Monte Carlo error estimation for multivariate Markov chains. Statistics and Probability Letters 46:85-93.
H.-C. Lai, M. R. Kosorok, A. Laxova, L. A. Davis, S. C. FitzSimmons, and P. M. Farrell (2000). Nutritional status of patients with cystic fibrosis with meconium ileus: A comparison with patients without meconium ileus and diagnosed early through neonatal screening. Pediatrics 105:53-61.
H.-C. Lai, S. C. FitzSimmons, D. B. Allen, M. R. Kosorok, B. J. Rosenstein, P. W. Campbell, and P. M. Farrell (2000). Persistent growth impairment in children with cystic fibrosis following treatment with alternate day prednisone. New England Journal of Medicine 342:851-859.
W.-H. Wei and M. R. Kosorok (2000). Masking unmasked in the proportional hazards model. Biometrics 56:991-995.
J. A. Douglas, M. R. Kosorok, and B. A. Chewning (1999). A latent variable model for multivariate failure time data with psychometrical applications. Psychometrika 64:69-82.
G. R. Gourley, B. Kreamer, M. Cohnen, and M. R. Kosorok (1999). Neonatal jaundice and diet. Archives of Pediatric & Adolescent Medicine 153:184-188.
C. A. Johnson, M. Wakeen, C. A. Taylor, S. W. Zimmerman, J. Burkhart, A. Bhattacharya, and M. R. Kosorok (1999). Comparison of intraperitoneal and subcutaneous epoetin in peritoneal dialysis patients. Peritoneal Dialysis International 19:578-582.
M. R. Kosorok (1999). Two-sample quantile tests under general conditions. Biometrika 86:909-921.
M. R. Kosorok and C.-Y. Lin (1999). The versatility of function-indexed weighted log-rank statistics. Journal of the American Statistical Association 94:320-332.
M. R. Kosorok MR and R. P. Qu (1999). Exact simultaneous confidence bands for a collection of univariate polynomials in regression analysis. Statistics in Medicine 18:613-620.
H.-C. Lai, M. Corey, S. FitzSimmons, M. R. Kosorok, and P. M. Farrell (1999). Comparison of growth status in patients with cystic fibrosis between United States and Canada. American Journal of Clinical Nutrition 69:531-538.
C.-Y. Lin and M. R. Kosorok (1999). A general class of function-indexed nonparametric tests for survival analysis. Annals of Statistics 27:1722-1744.
K. Pridham, M. R. Kosorok, F. Greer, P. Carey, S. Kayata, and S. Sondel (1999). The effects of prescribed versus ad libitum feedings and formula caloric density on growing premature infants. Nursing Research 48:86-93.
C. A. Taylor, M. R. Kosorok, S. W. Zimmerman, and C. A. Johnson (1999). Pharmacokinetics of intraperitoneal epoetin alpha in patients on peritoneal dialysis using 8-hour “dry dwell” dosing technique. American Journal of Kidney Diseases 34:657-662.
M. R. Kosorok, M. Jalaluddin, P. M. Farrell, G. Shen, C. E. Colby, A. Laxova, M. J. Rock, and M. Splaingard (1998). Comprehensive analysis of risk factors for acquisition of Pseudomonas aeruginosa in young children with cystic fibrosis. Pediatric Pulmonology 26:81-88.
H.-C. Lai, M. R. Kosorok, S. A. Sondel, S.-T. Chen, S. C. FitzSimmons, C. G. Green, G. Shen, S. Walker, and P. M. Farrell (1998). Growth status in children with cystic fibrosis based on the National Cystic Fibrosis Patient Registry data: Evaluation of various criteria used to identify malnutrition. Journal of Pediatrics 132:478-485.
W. Pan, R. Chappell, and M. R. Kosorok (1998). On consistency of the nonparametric MLE of survival for left truncated and interval censored data. Statistics and Probability Letters 38:49-57.
R. G. Gregg, A. Simantel, P. M. Farrell, R. Koscik, M. R. Kosorok, A. Laxova, R. Laessig, G. Hoffman, D. Hassemer, E. H. Mischler, and M. Splaingard (1997). Newborn screening for cystic fibrosis in Wisconsin: comparison of biochemical and molecular methods. Pediatrics 99:819-824.
P. M. Farrell, M. R. Kosorok, A. Laxova, G. Shen, R. E. Koscik, T. Bruns, M. Splaingard, E. H. Mischler, and the Wisconsin Cystic Fibrosis Neonatal Screening Study Group (1997). Nutritional benefits of newborn screening for cystic fibrosis. New England Journal of Medicine 337:963-969.
P. M. Farrell, G. Shen, M. Splaingard, C. E. Colby, A. Laxova, M. R. Kosorok, M. J. Rock, and E. H. Mischler (1997). Acquisition of Pseudomonas aeruginosa in children with cystic fibrosis. Pediatrics 100(5), URL: http://www.pediatrics.org/cgi/content/full/100/5/e2.
J. R. Pursley, M. R. Kosorok, and M. C. Wiltbank (1997). Reproductive management of lactating dairy cows using synchronization of ovulation. Journal of Dairy Science 80:301-306.
M. R. Kosorok and W.-H. Chao (1996). The analysis of longitudinal ordinal response data in continuous time. Journal of the American Statistical Association 91:807-817.
M. R. Kosorok, W.-H. Wei, and P. M. Farrell (1996). The incidence of cystic fibrosis. Statistics in Medicine 15:449-462.
A. W. A. van Egmond, M. R. Kosorok, R. Koscik, A. Laxova, and P. M. Farrell (1996). Effect of linoleic acid intake on growth of infants with cystic fibrosis. American Journal of Clinical Nutrition 63:746-752.
L. A. Baken, L. A. Koutsky, J. Kuypers, M. R. Kosorok, S.-K. Lee, N. B. Kiviat, and K. K. Holmes (1995). Genital human papillomavirus infection among male and female partners: prevalence and type-specific concordance. Journal of Infectious Diseases 171:429-432.
M. R. Kosorok and T. R. Fleming (1993). Using surrogate failure time data to increase cost effectiveness in clinical trials. Biometrika 80:823-833.
M. R. Kosorok, G. S. Omenn, P. Diehr, T. D. Koepsell, and D. L Patric (1992). Conditions associated with restricted activity days among older adults. American Journal of Public Health 82:1263-1267.
P. D. Swenson, J. T. Riess, M. R. Kosorok, and M. W. Oberle (1991). HBsAg subtyping with monoclonal antibodies on Southeast Asian refugees entering the United States. In: Viral Hepatitis and Liver Diesease, Ed. F. V. Hollinger, S. M. Lemon, and H. S. Margolis, pp. 199-202. Baltimore: Williams and Wilkins.
H. D. Tolley, M. R. Kosorok (1989). An empirical method of comparing risks using stochastic dominance. Transactions of the Society of Actuaries 41:507-545.