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Applied survival analysis: regression modeling of time event data

Author: Hosmer, David W. ; Lemeshow, Stanley Series: Wiley series in probability and statistics Publisher: Wiley, 1999.Language: EnglishDescription: 386 p. : Graphs ; 24 cm.ISBN: 0471154105Type of document: BookNote: See also the Solutions manual to accompany Applied survival analysis: regression modeling of time to event dataBibliography/Index: Includes bibliographical references and index
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Item type Current location Collection Call number Status Date due Barcode Item holds
Book Europe Campus
Main Collection
Print QA278.2 .H67 1999
(Browse shelf)
001177017
Available 001177017
Total holds: 0

See also the Solutions manual to accompany Applied survival analysis: regression modeling of time to event data

Includes bibliographical references and index

Digitized

Regression Modelling of Time to Event Data Contents Applied Survival Analysis Preface 1 Introduction to Regression Modeling of Survival Data 1.1 Introduction, 1 1.2 Typical Censoring Mechanisms, 17 1.3 Example Data Sets, 22 Exercises, 25 2 Descriptive Methods for Survival Data 2.1 Introduction, 27 2.2 Estimation of the Survivorship Function, 28 2.3 Using the Estimated Survivorship Function, 40 2.4 Comparison of Survivorship Functions, 57 2.5 Other Functions of Survival Time and Their Estimators, 73 Exercises, 84 3 Regression Models for Survival Data 3.1 Introduction, 87 3.2 Semiparametric Regression Models, 90 3.3 Fitting the Proportional Hazards Regression Model, 93 3.4 Fitting the Proportional Hazards Model with Tied Survival Times, 106 3.5 Estimating the Survivorship Function of the Proportional Hazards Regression Model, 108 Exercises, 111 ix 1 27 87 vii Vils 4 Interpretation of a Fitted Proportional Hazards Regression Model 4.1 Introduction, 113 4.2 Nominal Scale Covariate, 115 4.3 Continuous Scale Covariate, 127 4.4 Multiple-Covariate Models, 129 4.5 Interpretation and Use of the Covariate-Adjusted Survivorship Function, 137 4.6 Confidence Interval Estimation of the Covariate-Adjusted Survivorship Function, 152 Exercises, 156 5 Model Development 5.1 Introduction, 158 5.2 Purposeful Selection of Covariates, 159 5.3 Stepwise Selection of Covariates, 180 5.4 Best Subsets Selection of Covariates, 187 5.5 Numerical Problems, 193 Exercises, 195 6 Assessment of Model Adequacy 6.1 Introduction, 196 6.2 Residuals, 197 6.3 Methods for Assessing the Proportional Hazards Assumption, 205 6.4 Identification of Influential and Poorly Fit Subjects, 216 6.5 Overall Goodness-of-Fit Tests and Measures, 225 6.6 Interpretation and Presentation of the Final Model, 230 Exercises, 239 7 Extensions of the Proportional Hazards Model 7.1 Introduction, 241 7.2 The Stratified Proportional Hazards Model, 243 7.3 Time-Varying Covariates, 248 7.4 Truncated, Left Censored, and Interval Censored Data, 253 Exercises, 269 8 Parametric Regression Models 8.1 Introduction, 271 8.2 The Exponential Regression Model, 273 CONTENTS 113 158 196 241 271 CONTENTS ix 8.3 The Weibull Regression Model, 289 8.4 The Log-Logistic Regression Model, 299 8.5 Other Parametric Regression Models, 304 Exercises, 305 9 Other Models and Topics 9.1 Introduction, 307 9.2 Recurrent Event Models, 308 9.3 Frailty Models, 317 9.4 Nested Case-Control Studies, 326 95 Additive Models, 333 Exercises, 350 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 Bands References Index 354 358 307 365 365 379

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