Applied Survival Analysis Regression Modeling of Time-To-Event Data

Name: Applied Survival Analysis Regression Modeling of Time-To-Event Data
Price: 80.78 USD
Availability: InStock
ISBN: 9780471754992

ISBN-10: 0471754994

ISBN-13: 9780471754992

Edition: 2nd 2008

Authors: David W. Hosmer, Stanley Lemeshow, Susanne May

List price: $166.95

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Description:

This book fills this gap, providing a comprehensive, self-contained introduction to regression modeling used in the analysis of time-to-event data 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 it offers clear, accessible presentations of modern modeling techniques supplemented with real-world examples and case studies.

Book details

List price: $166.95
Edition: 2nd
Copyright year: 2008
Publisher: John Wiley & Sons, Incorporated
Publication date: 3/7/2008
Binding: Hardcover
Pages: 416
Size: 6.10" wide x 9.30" long x 1.10" tall
Weight: 1.782
Language: English

David W. Hosmer, PhD, is Professor Emeritus of Biostatistics in the School of Public Health and Heatlth Sciences at the University of Massachusetts Amherst. Dr. Hosmer is the coauthor of Applied Logistic Regression, published by Wiley.Stanley Lemeshow, PhD, is Professor and Dean of the College of Public Health at The Ohio State University. Dr. Lemeshow has over thirty-five years of academic experience in the areas of regression, categorical data methods, and sampling methods. He is the coauthor of Sampling of Population: Methods and Application and Applied Logistic Regression, both published by Wiley.Susanne May, PhD, is Assistant Professor of Biostatistics at the University of California,…



Preface



Introduction to Regression Modeling of Survival Data



Introduction



Typical Censoring Mechanisms



Example Data Sets


Exercises



Descriptive Methods for Survival Data



Introduction



Estimating the Survival function



Using the Estimated Survival function



Comparison of Survival Functions



Other Functions of Survival Time and Their Estimators


Exercises



Regression Models for Survival Data



Introduction



Semi-Parametric Regression Models



Fitting the Proportional Hazards Regression Model



Fitting the Proportional Hazards Model with Tied Survival Times



Estimating the Survival Function of the Proportional Hazards Regression Model


Exercises



Interpretation of a Fitted Proportional Hazards Regression Model



Introduction



Nominal Scale Covariate



Continuous Scale Covariate



Multiple-Covariate Models



Interpreting and Using the Estimated Covariate-Adjusted Survival function


Exercises



Model Development



Introduction



Purposeful Selection of Covariates



Methods to examine the scale of continuous covariates in the log hazard



An example of purposeful selection of covariates



Stepwise, Best-Subsets and Multivariable Fractional Polynomial Methods of Selecting Covariates



Stepwise selection of covariates



Best subsets selection of covariates



Selecting covariates and checking their scale using multivariable fractional polynomials



Numerical Problems


Exercises



Assessment of Model Adequacy



Introduction



Residuals



Assessing the Proportional Hazards Assumption



Identification of Influential and Poorly Fit Subjects



Assessing Overall Goodness-of-Fit



Interpreting and Presenting Results From the Final Model


Exercises



Extensions of the Proportional Hazards Model



Introduction



The Stratified Proportional Hazards Model



Time-Varying Covariates



Truncated, Left Censored and Interval Censored Data


Exercises



Parametric Regression Models



Introduction



The Exponential Regression Model



The Weibull Regression Model



The Log-Logistic Regression Model



Other Parametric Regression Models


Exercises



Other Models and Topics



Introduction



Recurrent Event Models



Frailty Models



Nested Case-Control Studies



Additive Models



Competing Risk Models



Sample Size and Power



Missing Data


Exercises



The Delta Method



An Introduction to the Counting Process Approach to Survival Analysis



Percentiles for Computation of the Hall and Wellner Confidence Band