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Modelling survival data in medical research / David Collett.

By: Collett, D, 1952-Material type: TextTextLanguage: English Series: Texts in statistical sciencePublication details: Boca Raton, Fla. : Chapman & Hall/CRC, c2003. Edition: 2nd edDescription: 391 p. : ill. ; 24 cmISBN: 1584883251 (pbk. : alk. paper); 9781584883258Subject(s): Survival analysis (Biometry) | Clinical trials -- Statistical methodsDDC classification: 610.727 LOC classification: R853.S7 | C65 2003Online resources: Publisher description | WorldCat Details | E-book Fulltext
Contents:
TOC Survival Analysis. Some Non-Parametric Procedures. Modelling Survival Data. Model Checking in the Cox Regression Model. Parametric Proportional Hazards Models. Accelerated Failure Time and other Parametric Models. Model Checking in Parametric Models. Time-Dependent Variables. Interval-Censored Survival Data. Sample Size Requirements for a Survival Study. Some Additional Topics. Computer Software for Survival Analysis. Appendices. References. Index of Examples. Index.
Summary: Summary: Survival analysis is an active field and many advances have emerged over the years. This book presents modelling techniques in survival data analysis, including developments in model checking, parametric models, time-dependent variables, and interval censored data. It focuses on the software sections on SAS.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book Dr. S. R. Lasker Library, EWU
E-book
Non-fiction 610.727 COM 2003 (Browse shelf(Opens below)) Not For Loan
Text Text Dr. S. R. Lasker Library, EWU
Reserve Section
Non-fiction 610.727 COM 2003 (Browse shelf(Opens below)) C-1 Not For Loan 25723
Text Text Dr. S. R. Lasker Library, EWU
Reserve Section
Non-fiction 610.727 COM 2003 (Browse shelf(Opens below)) C-2 Not For Loan 26886
Text Text Dr. S. R. Lasker Library, EWU
Circulation Section
Non-fiction 610.727 COM 2003 (Browse shelf(Opens below)) C-3 Available 26887
Total holds: 0

Includes bibliographical references (p. [371]-381) and indexes.

TOC Survival Analysis. Some Non-Parametric Procedures. Modelling Survival Data. Model Checking in the Cox Regression Model. Parametric Proportional Hazards Models. Accelerated Failure Time and other Parametric Models. Model Checking in Parametric Models. Time-Dependent Variables. Interval-Censored Survival Data. Sample Size Requirements for a Survival Study. Some Additional Topics. Computer Software for Survival Analysis. Appendices. References. Index of Examples. Index.

Summary:
Survival analysis is an active field and many advances have emerged over the years. This book presents modelling techniques in survival data analysis, including developments in model checking, parametric models, time-dependent variables, and interval censored data. It focuses on the software sections on SAS.

AS

Tahur Ahmed

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