Martin J. Crowder

Multivariate Survival Analysis and Competing Risks (eBook, PDF)

• Format: PDF

Produktbeschreibung

Suitable for graduate students and researchers in statistics and biostatistics as well as those in the medical field, epidemiology, and social sciences, this book introduces univariate survival analysis and extends it to the multivariate case. It also 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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 418
• Erscheinungstermin: 17. April 2012
• Englisch
• ISBN-13: 9781439875223
• Artikelnr.: 38302865

Autorenporträt

Martin J. Crowder

Inhaltsangabe

Univariate Survival Analysis: Survival Data. Survival Distributions.
Frailty Models. Parametric Methods. Discrete Time: Non- And Semi-Parametric
Methods. Continuous-Time: Non- And Semi-Parametric Methods. Multivariate
Survival Analysis: Multivariate Data and Distributions. Frailty and
Copulas. Repeated Measure. Wear and Degradation. Competing Risks:
Continuous Failure Times And Their Causes. Parametric Likelihood Inference.
Latent Failure Times: Probability Distributions. Discrete Failure Times in
Competing Risks. Hazard-Based Methods for Continuous Failure Times. Latent
Failure Times: Identifiability Crises. Counting Processes in Survival
Analysis: Some Basic Concepts. Survival Analysis. Non- And Semi-Parametric
Methods.