Modeling survival data: extending the Cox model
type: Item
instance of: scholarly article
title: Modeling survival data: extending the Cox model
zbMATH Open document ID: 0958.62094
author: Terry M. Therneau
author: Patricia M. Grambsch
published in: Statistics for Biology and Health
publication date: 2000-10-16T00:00:00Z
review text: This book contains a comprehensive description of what already can be found in the well-reputated S library survival 5, which can be found in the commercial statistical software Splus, as well as in the GPL-licensed statistical programming environment R. It gives an introduction to survival analysis, with emphasis on the Cox model, and with several illustrations from the authors' practice as biostatisticians. After the introductory chapters, more advanced topics are treated; various forms of residual analysis, tests of functional form and proportional hazards, influence, and multiple events per subject. An important chapter treats the today so popular topic of frailty models, before the book ends with a chapter on expected survival, and several appendices containing SAS macros, S functions and data sets. The book is a very useful companion for the practitioner of survival analysis, and particularly for one who uses the Cox model and survival 5.
Mathematics Subject Classification ID: 62Nxx
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62-01
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62N03
Mathematics Subject Classification ID: 62-02
zbMATH DE Number: 1517511
zbMATH Keywords: expected survival
zbMATH Keywords: frailty
zbMATH Keywords: proportional hazards
zbMATH Keywords: residuals
describes a project that uses: S-PLUS
describes a project that uses: R
describes a project that uses: SAS
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 1517511