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" Analysis of competing risks data : "


Document Type : BL
Record Number : 753649
Doc. No : b573610
Main Entry : Ronald Geskus.
Title & Author : Analysis of competing risks data : : concepts, methods and software\ Ronald Geskus.
Edition Statement : 1st
Publication Statement : Boca Raton : Chapman & Hall/CRC, 2015
Series Statement : Chapman & Hall/CRC texts in statistical science series
Page. NO : : illustrations (black and white).
ISBN : 1466570369
: : 9781466570368
Contents : Basic Concepts; Introduction; Examples; Data structure; On rates and risks; Non-informative observation schemes?; The examples revisited; Notation; Basic techniques from survival analysis; Summary and preview; Exercises; R code for classical survival analysis; Computer practicals Competing Risks; Nonparametric Estimation ; Introduction; Theoretical relations; Estimation based on cause-specific hazard; Estimation; the subdistribution approach; Standard errors and confidence intervals; Log-rank tests and other subgroup comparisons; Summary; three principles of interpretability; Exercises; Software; Computer practicals Intermediate Events; Nonparametric Estimation ; Introduction; multi-state models; Main concepts and theoretical relations; Estimation; Example: HIV, SI, AIDS and death; Summary; some alternative approaches; Exercises; Software; Computer practicals Regression; Cause-Specific/Transition Hazard ; Introduction; Regression on cause-specific hazard; basic structure; Combined analysis and type-specific covariables; Why does the stacked approach work?; Multi-state regression models for transition hazards; Example: causes of death in HIV infected individuals; Summary; Exercises; Software; Computer practicals Regression; Translation to Cumulative Scale ; Introduction; From cause-specific/transition hazard to probability; Regression on subdistribution hazard; Multinomial regression; Summary; Exercises; Software; Computer practicals Epilogue; Which type of quantity to choose?; Exercises Bibliography Appendix: Answers to Exercises Index.
Subject : Medical care -- Data processing.
Subject : Medical care -- Risk management.
Subject : Medicine -- Research -- Statistical methods.
Added Entry : Ronald Geskus
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