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|a Hosmer, David W.
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|a Applied survival analysis :
|b regression modeling of time-to-event data /
|c David W. Hosmer, Stanley Lemeshow, Susanne May.
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|a 2nd ed.
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|a Hoboken, N.J. :
|b Wiley-Interscience,
|c ©2008.
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|a 1 online resource (xiii, 392 pages) :
|b illustrations
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|a Wiley series in probability and statistics
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|a Print version record.
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|a Includes bibliographical references (pages 365-381) and index.
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|a Front Matter -- Introduction to Regression Modeling of Survival Data -- Descriptive Methods for Survival Data -- Regression Models for Survival Data -- Interpretation of a Fitted Proportional Hazards Regression Model -- Model Development -- Assessment of Model Adequacy -- Extensions of the Proportional Hazards Model -- Parametric Regression Models -- Other Models and Topics -- Appendix 1: The Delta Method -- Appendix 2: An Introduction to the Counting Process Approach to Survival Analysis -- Appendix 3: Percentiles for Computation of the Hall and Wellner Confidence Band -- References -- Index -- Wiley Series in Probability and Statistics.
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|a "Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increased considerably in all areas of scientific inquiry, mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research." "Analyses throughout the text are performed using Stata Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a reference for practitioners and resarchers in any health-related field or for professionals in insurance and government."--Jacket.
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|a Medicine
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|a Medical sciences
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|a Regression analysis
|x Data processing.
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|a Prognosis
|x Statistical methods.
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|a Survival analysis (Biometry)
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|a Logistic regression analysis.
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|a Prognosis.
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|a Regression analysis.
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|a Regression Analysis
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|a Médecine
|x Recherche
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|a Sciences de la santé
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|x Logiciels.
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|a Analyse de régression
|x Informatique.
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|a Pronostics (Pathologie)
|x Méthodes statistiques.
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|a Distribution logistique.
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|a Analyse de survie (Biométrie)
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|a Régression logistique.
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