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Dynamic Regression Models for Survival Data (Statistics for Biology and Health) by Torben Martinussen; Thomas H. Scheike is a nonfiction available to read on EtoBox.

What is Dynamic Regression Models for Survival Data (Statistics for Biology and Health) about?

In Survival Analysis There Has Long Been A Need For Models That Goes Beyond The Cox Model As The Proportional Hazards Assumption Often Fails In Practice. This Book Studies And Applies Modern Flexible Regression Models For Survival Data With A Special Focus On Extensions Of The Cox Model And Alternative Models With The Specific Aim Of Describing Time-varying Effects Of Explanatory Variables. One Model That Receives Special Attention Is Aalen’s Additive Hazards Model That Is Particularly Well Suited For Dealing With Time-varying Effects. The Book Covers The Use Of Residuals And Resampling Techniques To Assess The Fit Of The Models And Also Points Out How The Suggested Models Can Be Utilised For Clustered Survival Data. The Authors Demonstrate The Practically Important Aspect Of How To Do Hypothesis Testing Of Time-varying Effects Making Backwards Model Selection Strategies Possible For The Flexible Models Considered.^ The Use Of The Suggested Models And Methods Is Illustrated On Real Data Examples. The Methods Are Available In The R-package Timereg Developed By The Authors, Which Is Applied Throughout The Book With Worked Examples For The Data Sets. This Gives The Reader A Unique Cha

Who reads Dynamic Regression Models for Survival Data (Statistics for Biology and Health)?

Author

Torben Martinussen; Thomas H. Scheike

Publisher

Springer US

Published

2006

Language

EN

ISBN

9780387202747

Category

nonfiction

Subjects

Medical, Mathematics, Science