Modeling Survival Data: Extending the Cox Model
1st ed. Softcover of orig. ed. 2000
Book Details
Format
Paperback / Softback
Book Series
Statistics for Biology and Health
ISBN-10
1441931619
ISBN-13
9781441931610
Edition
1st ed. Softcover of orig. ed. 2000
Publisher
Springer-Verlag New York Inc.
Imprint
Springer-Verlag New York Inc.
Country of Manufacture
US
Country of Publication
GB
Publication Date
Dec 1st, 2010
Print length
350 Pages
Weight
538 grams
Dimensions
23.20 x 15.70 x 2.00 cms
Product Classification:
Probability & statisticsMathematical modellingStochasticsMaths for engineers
Ksh 32,400.00
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Extending the Cox Model is aimed at researchers, practitioners, and graduate students who have some exposure to traditional methods of survival analysis. The emphasis is on semiparametric methods based on the proportional hazards model.
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.
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