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Multivariate Survival Analysis and Competing Risks

Martin J. Crowder
€78.99
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A01=Martin J. Crowder
advanced statistical modeling
Author_Martin J. Crowder
Baseline Survivor Functions
Basic Probability Functions
biostatistics methods
Bivariate Exponential
Category=PBT
Category=PS
Competing Risks
copula theory
Counting Processes in Survival Analysis
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failure
Failure Times
frailty modeling
Full Parameter Set
function
functions
Hazard Functions
hazards
joint
Joint Survivor Function
Kaplan Meier Estimator
Latent Failure Times
likelihood
Likelihood Contribution
Likelihood Function
Marginal Survivor Functions
Marshall Olkin Distribution
Multivariate Survival Analysis
multivariate survival analysis textbook
Negative Binomial
Observed Failure Times
parametric inference
Partial Likelihood
Predictable Variation Process
proportional
R programming exercises
Stochastic Integration
sub-hazard
Sub-hazard Functions
sub-survivor
Sub-survivor Functions
Survival Analysis
Survivor Function
time
Time ?l
Time Dependent Covariates
Time Τl
Univariate Survival Analysis

Product details

  • ISBN 9781138199606
  • Weight: 700g
  • Dimensions: 156 x 234mm
  • Publication Date: 16 Nov 2016
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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