Technical
Reports
Y. Tang, M. R. Kosorok (2012). Developing adaptive personalized therapy for cystic fibrosis using reinforcement learning. University of North Carolina at Chapel Hill Department of Biostatistics Technical Report Series. Working Paper 30: http://biostats.bepress.com/uncbiostat/art30.
M. R. Kosorok, R. Song (2006). Further details on inference under right censoring for transformation models with a change-point based on a covariat threshold. UW Madison Biostatistics and Medical Informatics TR194 (http://arxiv.org/abs/math.ST/0604043).
M. R. Kosorok, J. A. Douglas, J. de la Torre (2004). Robust likelihood inference for latent variable models using Markov chain Monte Carlo. UW Madison Biostatistics and Medical Informatics TR185.
S. Ma, M. R. Kosorok, T. D. Cook (2003). Software for design and analysis of group sequential clinical trials with multiple primary endpoints. UW Madison Biostatistics and Medical Informatics TR177.
M. R. Kosorok. Adaptive weighted log-rank tests for group sequential clinical trials (2000). UW Madison Biostatistics and Medical Informatics TR144.
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 (1998). The Wisconsin Cystic Fibrosis Chest Radiograph Scoring System: Further details on validation and standardization for application to longitudinal studies. UW Madison Biostatistics TR129.
M. R. Kosorok (1998). A Monte Carlo method for obtaining the null distribution of function-indexed log-rank statistics. UW Madison Biostatistics TR127.
W.-H. Chao and M. R. Kosorok (1995). Asymptotic estimation theory for Markov regression models for longitudinal categorical data. UW Madison Biostatistics TR97.
M. R. Kosorok and W.-H. Chao (1995). Further details on the analysis of longitudinal response data in continuous time. UW Madison Biostatistics TR94.