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Multivariate Survival Analysis and Competing Risks

By Martin J. Crowder

Chapman and Hall/CRC – 2012 – 417 pages

Series: Chapman & Hall/CRC Texts in Statistical Science

Purchasing Options:

  • Add to CartHardback: $104.95
    978-1-43-987521-6
    April 17th 2012

Description

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods.

There are many books covering survival analysis, but very few that cover the multivariate case in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the examples. The author is renowned for his clear writing style, and this book continues that trend. It is an excellent reference for graduate students and researchers looking for grounding in this burgeoning field of research.

Contents

Univariate Survival Analysis

Scenario

Survival Distributions

Continuous Time Parametric Inference

Continuous Time Non- and Semi-Parametric Methods

Discrete Time

Multivariate Survival Analysis

Multivariate Data and Distributions

Some Parametric Models

Frailty, Random Effects, and Copulas

Repeated Measures

Recurrent Events

Multi-State Processes

Competing Risks

Continuous Failure Times and Their Causes

Continuous Time Parametric Inference

Latent Lifetimes

Continuous Time Non- and Semi-Parametric Methods

Discrete Lifetimes

Latent Lifetimes Identifiability Crises

Counting Processes in Survival Analysis

Some Basic Concepts

Survival Analysis

Non- and Semi-Parametric Methods

Appendices

Terms, Notations, and Abbreviations

Basic Likelihood Methods

Some Theory for Partial Likelihood

Numerical Optimisation of Functions

References

Epilogue

Index

Name: Multivariate Survival Analysis and Competing Risks (Hardback)Chapman and Hall/CRC 
Description: By Martin J. Crowder. Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text...
Categories: Statistics & Computing, Statistical Theory & Methods, Statistics for the Biological Sciences