Regression Models for Right Censoring Cox Regression Model Hans C. van Houwelingen and Theo Stijnen Bayesian Analysis of the Cox Model Joseph G. Ibrahim, Ming-Hui Chen, Danjie Zhang, and Debajyoti Sinha Alternatives to the Cox Model Torben Martinussen and Limin Peng Transformation Models D.Y. Lin High-Dimensional Regression Models Jennifer A. Sinnott and Tianxi Cai Cure Models Yingwei Peng and Jeremy M.G. Taylor Causal Models Theis Lange and Naja H. Rod Competing Risks Classical Regression Models for Competing Risks Jan Beyersmann and Thomas Scheike Bayesian Regression Models for Competing Risks Ming-Hui Chen, Mario de Castro, Miaomiao Ge, and Yuanye Zhang Pseudo-Value Regression Models Brent R. Logan and Tao Wang Binomial Regression Models Randi Gron and Thomas A. Gerds Regression Models in Bone Marrow Transplantation-A Case Study Mei-Jie Zhang, Marcelo C. Pasquini, and Kwang Woo Ahn Model Selection and Validation Classical Model Selection Florence H. Yong, Tianxi Cai, LJ Wei, and Lu Tian Bayesian Model Selection Purushottam W. Laud Model Selection for High-Dimensional Models Rosa J. Meijer and Jelle J. Goeman Robustness of Proportional Hazards Regression John O'Quigley and Ronghui Xu Other Censoring Schemes Nested Case-Control and Case-Cohort Studies Ornulf Borgan and Sven Ove Samuelsen Interval Censoring Jianguo Sun and Junlong Li Current Status Data: An Illustration with Data on Avalanche Victims Nicholas P. Jewell and Ruth Emerson Multivariate/Multistate Models Multistate Models Per Kragh Andersen and Maja Pohar Perme Landmarking Hein Putter Frailty Models Philip Hougaard Bayesian Analysis of Frailty Models Paul Gustafson Copula Models Joanna H. Shih Clustered Competing Risks Guoqing Diao and Donglin Zeng Joint Models of Longitudinal and Survival Data Wen Ye and Menggang Yu Familial Studies Karen Bandeen-Roche Clinical Trials Sample Size Calculations for Clinical Trials Kristin Ohneberg and Martin Schumacher Group Sequential Designs for Survival Data Chris Jennison and Bruce Turnbull Inference for Paired Survival Data Jennifer Le-Rademacher and Ruta Brazauskas Index
John P. Klein is a professor and director of the Division of Biostatistics at the Medical College of Wisconsin. An elected member of the International Statistical Institute (ISI) and a fellow of the American Statistical Association (ASA), Dr. Klein is the author of 230 research papers, a co-author of Survival Analysis: Techniques for Censored and Truncated Data, an associate editor of Biometrics, Life Time Data Analysis, Dysphagia, and the Iranian Journal of Statistics. He received a Ph.D. from the University of Missouri. Hans C. van Houwelingen retired from Leiden University Medical Center in 2009 and was appointed Knight in the Order of the Dutch Lion. Dr. van Houwelingen is an elected member of the ISI, a fellow of the ASA, and an honorary member of the International Society for Clinical Biostatistics, Dutch Statistical Society, and the Dutch Region of the International Biometric Society. He is also the co-author of Dynamic Prediction in Clinical Survival Analysis. He received a Ph.D. in mathematical statistics from the University of Utrecht. Joseph G. Ibrahim is an alumni distinguished professor of biostatistics at the University of North Carolina, Chapel Hill, where he directs the Center for Innovative Clinical Trials. An elected member of the ISI and an elected fellow of the ASA and the Institute of Mathematical Statistics, Dr. Ibrahim has published over 230 research papers and two advanced graduate-level books on Bayesian survival analysis and Monte Carlo methods in Bayesian computation. He received a Ph.D. in statistics from the University of Minnesota. Thomas H. Scheike is a professor in the Department of Biostatistics at the University of Copenhagen. Dr. Scheike is the co-author of Dynamic Regression Models for Survival Data and has been involved in several R packages for the biostatistical community. He received a Ph.D. in mathematical statistics from the University of California, Berkley, and a Dr. Scient from the University of Copenhagen.