Preface xi
1. Introduction to Regression Modeling of Survival Data 1
2. Descriptive Methods for Survival Data 16
3. Regression Models for Survival Data 67
4. Interpretation of a Fitted Proportional Hazards Regression Model 92
5. Model Development 132
6. Assessment of Model Adequacy 169
7. Extensions of the Proportional Hazards Model 207
8. Parametric Regression Models 244
9. Other Models and Topics 286
Appendix 1: The Delta Method 355
Appendix 2: An Introduction to the Counting Process Approach to Survival Analysis 359
Appendix 3: Percentiles for Computation of the Hall and Wellner Confidence Band 364
References 365
Index 383

THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZINGTIME-TO-EVENT DATA--NOW IN A VALUABLE NEW EDITION
Since publication of the first edition nearly a decade ago,analyses using time-to-event methods have increase considerably inall areas of scientific inquiry mainly as a result ofmodel-building methods available in modern statistical softwarepackages. However, there has been minimal coverage in the availableliterature to9 guide researchers, practitioners, and students whowish to apply these methods to health-related areas of study.Applied Survival Analysis, Second Edition provides a comprehensiveand up-to-date introduction to regression modeling fortime-to-event data in medical, epidemiological, biostatistical, andother health-related research.
This book places a unique emphasis on the practical andcontemporary applications of regression modeling rather than themathematical theory. It offers a clear and accessible presentationof modern modeling techniques supplemented with real-world examplesand case studies. Key topics covered include: variable selection,identification of the scale of continuous covariates, the role ofinteractions in the model, assessment of fit and model assumptions,regression diagnostics, recurrent event models, frailty models,additive models, competing risk models, and missing data.
Features of the Second Edition include:
* Expanded coverage of interactions and the covariate-adjustedsurvival functions
* The use of the Worchester Heart Attack Study as the mainmodeling data set for illustrating discussed concepts andtechniques
* New discussion of variable selection with multivariablefractional polynomials
* Further exploration of time-varying covariates, complex withexamples
* Additional treatment of the exponential, Weibull, andlog-logistic parametric regression models
* Increased emphasis on interpreting and using results as well asutilizing multiple imputation methods to analyze data with missingvalues
* New examples and exercises at the end of each chapter
Analyses throughout the text are performed using Stata®Version 9, and an accompanying FTP site contains the data sets usedin the book. Applied Survival Analysis, Second Edition is an idealbook for graduate-level courses in biostatistics, statistics, andepidemiologic methods. It also serves as a valuable reference forpractitioners and researchers in any health-related field or forprofessionals in insurance and government.