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Applied Survival Analysis Using R

Applied Survival Analysis Using R

Paperback

Series: Use R!

Medical ReferenceGeneral ScienceProbability & Statistics

ISBN10: 331931243X
ISBN13: 9783319312439
Publisher: Springer Nature
Published: May 20 2016
Pages: 226
Weight: 0.80
Height: 0.54 Width: 6.14 Depth: 9.21
Language: English
Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categorical data, while other aspects of this field are unique to survival data. This text employs numerous actual examples to illustrate survival curve estimation, comparison of survivals of different groups, proper accounting for censoring and truncation, model variable selection, and residual analysis.

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Probability & Statistics