Applied Survival Analysis Using R

Dirk F. Moore is Associate Professor of Biostatistics at the Rutgers School of Public Health and the Rutgers Cancer Institute of New Jersey. He received a Ph.D. in biostatistics from the University of Washington in Seattle and, prior to joining Rutgers, was a faculty member in the Statistics Department at Temple University. He has published numerous papers on the theory and application of survival analysis and other biostatistics methods to clinical trials and epidemiology studies.

Introduction.- Basic Principles of Survival Analysis.- Nonparametric Survival Curve Estimation.- Nonparametric Comparison of Survival Distributions.- Regression Analysis Using the Proportional Hazards Model.- Model Selection and Interpretation.- Model Diagnostics.- Time Dependent Covariates.- Multiple Survival Outcomes and Competing Risks.- Parametric Models.- Sample Size Determination for Survival Studies.- Additional Topics.- References.- Appendix A.- Index.- R Package Index.

"This book describes the principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R. ... The intended audience includes students taking a master's level course in statistical theory and analysts who need to work with survival time data. ... This is an excellent overview of the main principles of survival analysis and its applications with examples using R for the intended audience." (Hemang B. Panchal, Doody's Book Reviews, August, 2016)