Modeling Survival Data: Extending the Cox Model (Paperback, 1st ed. Softcover of orig. ed. 2000)

This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze multiple/correlated event data using marginal and random effects. The focus is on actual data examples, the analysis and interpretation of results, and computation. The book shows how these new methods can be implemented in SAS and S-Plus, including computer code, worked examples, and data sets.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Statistics for Biology and Health
Release date:	December 2010
First published:	2000
Authors:	Terry M. Therneau • Patricia M. Grambsch
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Paperback
Pages:	350
Edition:	1st ed. Softcover of orig. ed. 2000
ISBN-13:	978-1-4419-3161-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	1-4419-3161-9
Barcode:	9781441931610

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