ABSTRACT

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

part |2 pages

Part I: Univariate Survival Analysis

chapter 1|8 pages

Scenario

chapter 2|18 pages

Survival Distributions

chapter 3|28 pages

Continuous Time-Parametric Inference

chapter 5|22 pages

Discrete Time

part |2 pages

Part II: Multivariate Survival Analysis

chapter 6|10 pages

Multivariate Data and Distributions

chapter 7|10 pages

Some Models and Methods

chapter 8|18 pages

Frailty, Random Effects, and Copulas

chapter 9|22 pages

Repeated Measures

chapter 10|18 pages

Recurrent Events

chapter 11|22 pages

Multi-State Processes

part |2 pages

Part III: Competing Risks

chapter 12|12 pages

Continuous Failure Times and Their Causes

chapter 13|20 pages

Continuous Time: Parametric Inference

chapter 14|18 pages

Latent Lifetimes

chapter 16|22 pages

Discrete Lifetimes

chapter 17|22 pages

Latent Lifetimes: Identifiability Crises

part |2 pages

Part IV: Counting Processes in Survival Analysis

chapter 18|12 pages

Some Basic Concepts

chapter 19|8 pages

Survival Analysis

chapter 20|10 pages

Non- and Semi-Parametric Methods