目录： Contents Preface 1. Introduction 1.1 Failure Time Data, 1 1.2 Failure Time Distributions, 6 1.3 Time Origins, Censoring, and Truncation, 12 1.4 Estimation of the Survivor Function, 14 1.5 Comparison of Survival Curves, 20 1.6 Generalizations to Accommodate Delayed Entry, 23 1.7 Counting Process Notation, 24 Bibliographic Notes, 26 Exercises and Complements, 28 2. Failure Time Models 2.1 Introduction, 31 2.2 Some Continuous Parametric Failure Time Models, 31 2.3 Regression Models, 40 2.4 Discrete Failure Time Models, 46 Bibliographic Notes, 49 Exercises and Complements, 49 3. Inference in Parametric Models and Related Topics 3.1 Introduction, 52 3.2 Censoring Mechanisms, 52 3.3 Censored Samples from an Exponential Distribution, 54 3.4 Large-Sample Likelihood Theory, 57 3.5 Exponential Regression, 65 3.6 Estimation in Log-Linear Regression Models, 68 3.7 Illustrations in More Complex Data Sets, 70 3.8 Discrimination Among Parametric Models, 74 3.9 Inference with Interval Censoring, 78 3.10 Discussion, 83 Bibliographic Notes, 85 Exercises and Complements, 87 4. Relative Risk (Cox) Regression Models 95 4.1 Introduction, 95 4.2 Estimation of beta, 99 4.3 Estimation of the Baseline Hazard or Survivor Function, 114 4.4 Inclusion of Strata, 118 4.5 Illustrations, 119 4.6 Counting Process Formulas, 128 4.7 Related Topics on the Cox Model, 130 4.8 Sampling from Discrete Models, 135 Bibliographic Notes, 142 Exercises and Complements, 144 5. Counting Processes and Asymptotic Theory 148 5.1 Introduction, 148 5.2 Counting Processes and Intensity Functions, 149 5.3 Martingales, 157 5.4 Vector-Valued Martingales, 164 5.5 Martingale Central Limit Theorem, 165 5.6 Asymptotics Associated with Chapter 1, 167 5.7 Asymptotic Results for the Cox Model, 172 5.8 Asymptotic Results for Parametric Models, 178 5.9 Efficiency _of the Cox Model Estimator, 181 5.10 Partial Likelihood Filtration, 188 Bibliographic Notes, 189 Exercises and Complements, 190 6. Likelihood Construction and Further Results 193 6.1 Introduction, 193 6.2 Likelihood Construction in Parametric Models, 193 6.3 Time-Dependent Covariates and Further Remarks on Likelihood Construction, 196 6.4 Time Dependence in the Relative Risk Model, 200 6.5 Nonnested Conditioning Events, 208 6.6 Residuals and Model Checking for the Cox Model, 210 Bibliographic Notes, 212 Exercises and Complements, 214 7. Rank Regression and the Accelerated Failure Time Model 7.1 Introduction, 218 7.2 Linear Rank Tests, 219 7.3 Development and Properties of Linear Rank Tests, 224 7.4 Estimation in the Accelerated Failure Time Model, 235 7.5 Some Related Regression Models, 241 Bibliographic Notes, 242 Exercises and Complements, 244 8. Competing Risks and Multistate Models 8.1 Introduction, 247 8.2 Competing Risks, 248 8.3 Life-History Processes, 266 Bibliographic Notes, 273 Exercises and Complements, 275 9. Modeling and Analysis of Recurrent Event Data 278 9.1 Introduction, 278 9.2 Intensity Processes for Recurrent Events, 280 9.3 Overall Intensity Process Modeling and Estimation, 282 9.4 Mean Process Modeling and Estimation, 286 9.5 Conditioning on Aspects of the Counting Process History, 297 Bibliographic Notes, 299 Exercises and Complements, 300 10. Analysis of Correlated Failure Time Data 302 10.1 Introduction, 302 10.2 Regression Models for Correlated Failure Time Data, 303 10.3 Representation and Estimation of the Bivariate Survivor Function, 308 10.4 Pairwise Dependency Estimation, 311 10.5 Illustration: Australian Twin Data, 313 10.6 Approaches to Nonparametric Estimation of the Bivariate Survivor Function, 315 10.7 Survivor Function Estimation in Higher Dimensions, 322 Bibliographic Notes, 323 Exercises and Complements, 324 11. Additional Failure Time Data Topics 328 11.1 Introduction, 328 11.2 Stratified Bivariate Failure Time Analysis, 329 11.3 Fixed Study Period Survival Studies, 334 11.4 Cohort Sampling and Case-Control Studies, 337 11.5 Missing Covariate Data, 343 11.6 Mismeasured Covariate Data, 346 11.7 Sequential Testing with Failure Time Endpoints, 348 11.8 Bayesian Analysis of the Proportional Hazards Model, 352 11.9 Some Analyses of a Particular Data Set, 361 Bibliographic Notes, 369 Exercises and Complements, 371 Glossary of Notation 375 Appendix A: Some Sets of Data 378 Appendix B: Supporting Technical Material 396 Bibliography 404 Author Index 429 Subject Index 435 |