Applied Survival Analysis Using R

• Main Author: Moore, Dirk F. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Use R!,
• Subjects: Statistics.; Epidemiology.; Biostatistics.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistical Theory and Methods.

Applied Survival Analysis Using R covers the main 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 as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of bi...

Table of Contents:

• 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.