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Handbook of Survival Analysis

Edited by: John P. Klein , Hans C. van Houwelingen , Joseph G. Ibrahim , Thomas H. Scheike

Print publication date:  July  2013
Online publication date:  April  2016

Print ISBN: 9781466555662
eBook ISBN: 9781466555679
Adobe ISBN:

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Book description

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time.

With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides:

  • An introduction to various areas in survival analysis for graduate students and novices
  • A reference to modern investigations into survival analysis for more established researchers
  • A text or supplement for a second or advanced course in survival analysis
  • A useful guide to statistical methods for analyzing survival data experiments for practicing statisticians

Table of contents

Chapter  1:  Cox Regression Model Download PDF
Chapter  2:  Bayesian Analysis of the Cox Model Download PDF
Chapter  3:  Alternatives to the Cox Model Download PDF
Chapter  4:  Transformation Models Download PDF
Chapter  5:  High-Dimensional Regression Models Download PDF
Chapter  6:  Cure Models Download PDF
Chapter  7:  Causal Models Download PDF
Chapter  8:  Classical Regression Models for Competing Risks Download PDF
Chapter  9:  Bayesian Regression Models for Competing Risks Download PDF
Chapter  10:  Pseudo-Value Regression Models Download PDF
Chapter  11:  Binomial Regression Models Download PDF
Chapter  12:  Regression Models in Bone Marrow Transplantation – A Case Study Download PDF
Chapter  13:  Classical Model Selection Download PDF
Chapter  14:  Bayesian Model Selection Download PDF
Chapter  15:  Model Selection for High-Dimensional Models Download PDF
Chapter  16:  Robustness of Proportional Hazards Regression Download PDF
Chapter  17:  Nested Case-Control and Case-Cohort Studies Download PDF
Chapter  18:  Interval Censoring Download PDF
Chapter  19:  Current Status Data: An Illustration with Data on Avalanche Victims Download PDF
Chapter  20:  Multistate Models Download PDF
Chapter  21:  Landmarking Download PDF
Chapter  22:  Frailty Models Download PDF
Chapter  23:  Bayesian Analysis of Frailty Models Download PDF
Chapter  24:  Copula Models Download PDF
Chapter  25:  Clustered Competing Risks Download PDF
Chapter  26:  Joint Models of Longitudinal and Survival Data Download PDF
Chapter  27:  Familial Studies Download PDF
Chapter  28:  Sample Size Calculations for Clinical Trials Download PDF
Chapter  29:  Group Sequential Designs for Survival Data Download PDF
Chapter  30:  Inference for Paired Survival Data Download PDF
prelims Download PDF
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