Applied Survival Analysis

Regression Modeling of Time to Event Data

David Hosmer, Stanley Lemeshow

600 pages, parution le 05/06/2003

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Résumé

A Practical, Up-To-Date Guide To Modern Methods In The Analysis Of Time To Event Data. The rapid proliferation of powerful and affordable statistical software packages over the past decade has inspired the development of an array of valuable new methods for analyzing survival time data. Yet there continues to be a paucity of statistical modeling guides geared to the concerns of health-related researchers who study time to event data. This book helps bridge this important gap in the literature.

Applied Survival Analysis is a comprehensive introduction to regression modeling for time to event data used in epidemiological, biostatistical, and other health-related research. Unlike other texts on the subject, it focuses almost exclusively on practical applications rather than mathematical theory and offers clear, accessible presentations of modern modeling techniques supplemented with real-world examples and case studies. While the authors emphasize the proportional hazards model, descriptive methods and parametric models are also considered in some detail.
Key topics covered in depth include:

Variable selection.
Identification of the scale of continuous covariates.
The role of interactions in the model.
Interpretation of a fitted model.
Assessment of fit and model assumptions.
Regression diagnostics.
Recurrent event models, frailty models, and additive models.
Commercially available statistical software and getting the most out of it.

Applied Survival Analysis is an ideal introduction for graduate students in biostatistics and epidemiology, as well as researchers in health-related fields.

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
Appendices
References
Index

Completed by Solutions Manual to Accompany Applied Survival Analysis: Regression Modeling of Time to Event Data

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	David Hosmer, Stanley Lemeshow
Parution	05/06/2003
Nb. de pages	600
Format	21,5 x 27,5
Couverture	Broché
Poids	1375g
Intérieur	Noir et Blanc
EAN13	9780471437321