Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley Series in Probability and Statistics)
Book Features
- Author: David W. Hosmer
- Language: English
- ISBN10: 0471754994
Book Overview
>>>THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-Event DATA—NOW IN A Important NEW EDITIONSince publication of the initial edition nearly a decade ago, analyses making use of time-to-event strategies have boost considerably in all regions of scientific inquiry mainly as a result of model-building techniques accessible in modern statistical application packages. Nonetheless, there has been minimal coverage in the accessible literature to9 guide researchers, practitioners, and students who wish to apply these techniques to wellness-associated places of study. Applied Survival Analysis, Second Edition gives a comprehensive and up-to-date introduction to regression modeling for time-to-event information in medical, epidemiological, biostatistical, and other health-connected investigation.This book places a distinctive emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory. It provides a clear and accessible presentation of modern day modeling tactics supplemented with actual-world examples and situation studies. Key topics covered incorporate: variable choice, identification of the scale of continuous covariates, the role of interactions in the model, assessment of fit and model assumptions, regression diagnostics, recurrent event models, frailty models, additive models, competing danger models, and missing information.Functions of the Second Edition incorporate:Expanded coverage of interactions and the covariate-adjusted survival functionsThe use of the Worchester Heart Attack Study as the principal modeling information set for illustrating discussed concepts and techniquesNew discussion of variable choice with multivariable fractional polynomialsFurther exploration of time-varying covariates, complex with examplesAddition…

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A Good Read, but Read it Carefully!,
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The authors provide a really nice, non-technical survey of the landscape for Cox Proportional Hazards models. A nice aspect of their treatment is the care they take to reference all highly technical…
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|Excellent Nontechnical Coverage of Survival Analysis,
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Applied Survival Analysis is an excellent book for someone seeking a non-mathematicial explanation of survival analysis. The book covers the motivation behind the development of survival analysis,…
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|Great conceptual Introduction to Cox regression analysis,
I enjoyed the authors’ book on logistic regression analysis in 1989, and this book is just as good, or better, with many extremely practical suggestions on building regression models for survival…
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