Modelling survival data in medical research / David Collett.
Material type:
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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EWU Library E-book | Non-fiction | 610.727 COM 2003 (Browse shelf(Opens below)) | Not For Loan | ||||
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EWU Library Reserve Section | Non-fiction | 610.727 COM 2003 (Browse shelf(Opens below)) | C-1 | Not For Loan | 25723 | ||
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EWU Library Reserve Section | Non-fiction | 610.727 COM 2003 (Browse shelf(Opens below)) | C-2 | Not For Loan | 26886 | ||
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EWU Library Circulation Section | Non-fiction | 610.727 COM 2003 (Browse shelf(Opens below)) | C-3 | Available | 26887 |
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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