ABSTRACT

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

part 1|4 pages

Part I: Regression Models for Right Censoring

chapter 1|22 pages

Cox Regression Model

ByHans C. van Houwelingen, Theo Stijnen

chapter 2|22 pages

Bayesian Analysis of the Cox Model

ByJoseph G. Ibrahim, Ming-Hui Chen, Danjie Zhang, Debajyoti Sinha

chapter 3|27 pages

Alternatives to the Cox Model

ByTorben Martinussen, Limin Peng

chapter 4|15 pages

Transformation Models

chapter 5|20 pages

High-Dimensional Regression Models

chapter 6|22 pages

Cure Models

chapter 7|18 pages

Causal Models

part |4 pages

Part II: Competing Risks

part |2 pages

Part III: Model Selection and Validation

chapter 13|19 pages

Classical Model Selection

chapter 14|15 pages

Bayesian Model Selection

chapter 15|22 pages

Model Selection for High-Dimensional Models

part |2 pages

Part IV: Other Censoring Schemes

chapter 17|25 pages

Nested Case-Control and Case-Cohort Studies

chapter 18|22 pages

Interval Censoring

part |3 pages

Part V: Multivariate/Multistate Models

chapter 20|23 pages

Multistate Models

chapter 21|16 pages

Landmarking

chapter 22|17 pages

Frailty Models

chapter 23|14 pages

Bayesian Analysis of Frailty Models

chapter 24|22 pages

Copula Models

chapter 25|12 pages

Clustered Competing Risks

chapter 27|20 pages

Familial Studies

part |2 pages

Part VI: Clinical Trials

chapter 28|24 pages

Sample Size Calculations for Clinical Trials

chapter 29|19 pages

Group Sequential Designs for Survival Data

chapter 30|18 pages

Inference for Paired Survival Data