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Modeling survival data : extending the Cox model /

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. The inclusion of examples with SAS and S-PLUS code will make th...

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Bibliographic Details
Main Author: Therneau, Terry M.
Corporate Author: SpringerLink (Online service)
Other Authors: Grambsch, Patricia M.
Format: eBook
Language:English
Published: New York : Springer, 2000.
Series:Statistics for biology and health.
Subjects:
Medicine > Research > Statistical methods.
Medicine > Mathematical models.
Survival analysis (Biometry)
Análise de sobrevivência.
Processos estocasticos.
Statistiek.
Regressiemodellen.
Martingalen.
Biometrie.
Überleben.
Medizinische Statistik.
Cox-Regressionsmodell.
Ereignisdatenanalyse.
Models, Statistical.
Survival Analysis.
Research Design.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary: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. The inclusion of examples with SAS and S-PLUS code will make the book accessible to most working statisticians.
Physical Description:1 online resource (xiii, 350 pages) : illustrations.
Bibliography:Includes bibliographical references (pages [333]-345) and index.
ISBN:9781475732948 (electronic bk.)
1475732945 (electronic bk.)