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共有三个资料
1 英文原版书
2 原书作者对书的补充
3 一位老师基于此书的notes
原书目录
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, 141.5 Comparison of Survival Curves, 20
1.6 Generalizations to Accommodate Delayed Entry, 231.7 Counting Process Notation, 24
Bibliographic Notes, 26Exercises and Complements, 28
2. Failure Time Models2.1 Introduction, 31
2.2 Some Continuous Parametric Failure Time Models, 312.3 Regression Models, 40
2.4 Discrete Failure Time Models, 46Bibliographic Notes, 49
Exercises and Complements, 493. Inference in Parametric Models and Related Topics
3.1 Introduction, 523.2 Censoring Mechanisms, 52
3.3 Censored Samples from an Exponential Distribution, 543.4 Large-Sample Likelihood Theory, 57
3.5 Exponential Regression, 653.6 Estimation in Log-Linear Regression Models, 68
3.7 Illustrations in More Complex Data Sets, 703.8 Discrimination Among Parametric Models, 74
3.9 Inference with Interval Censoring, 783.10 Discussion, 83
Bibliographic Notes, 85Exercises and Complements, 87
4. Relative Risk (Cox) Regression Models 954.1 Introduction, 95
4.2 Estimation of beta, 994.3 Estimation of the Baseline Hazard or Survivor Function, 114
4.4 Inclusion of Strata, 1184.5 Illustrations, 119
4.6 Counting Process Formulas, 1284.7 Related Topics on the Cox Model, 130
4.8 Sampling from Discrete Models, 135Bibliographic Notes, 142
Exercises and Complements, 1445. Counting Processes and Asymptotic Theory 148
5.1 Introduction, 1485.2 Counting Processes and Intensity Functions, 149
5.3 Martingales, 1575.4 Vector-Valued Martingales, 164
5.5 Martingale Central Limit Theorem, 1655.6 Asymptotics Associated with Chapter 1, 167
5.7 Asymptotic Results for the Cox Model, 1725.8 Asymptotic Results for Parametric Models, 178
5.9 Efficiency _of the Cox Model Estimator, 1815.10 Partial Likelihood Filtration, 188
Bibliographic Notes, 189Exercises and Complements, 190
6. Likelihood Construction and Further Results 1936.1 Introduction, 193
6.2 Likelihood Construction in Parametric Models, 1936.3 Time-Dependent Covariates and Further
Remarks on Likelihood Construction, 1966.4 Time Dependence in the Relative Risk Model, 200
6.5 Nonnested Conditioning Events, 2086.6 Residuals and Model Checking for the Cox Model, 210
Bibliographic Notes, 212Exercises and Complements, 214
7. Rank Regression and the Accelerated Failure Time Model7.1 Introduction, 218
7.2 Linear Rank Tests, 2197.3 Development and Properties of Linear Rank Tests, 224
7.4 Estimation in the Accelerated Failure Time Model, 2357.5 Some Related Regression Models, 241
Bibliographic Notes, 242Exercises and Complements, 244
8. Competing Risks and Multistate Models8.1 Introduction, 247
8.2 Competing Risks, 2488.3 Life-History Processes, 266
Bibliographic Notes, 273Exercises and Complements, 275
9. Modeling and Analysis of Recurrent Event Data 2789.1 Introduction, 278
9.2 Intensity Processes for Recurrent Events, 2809.3 Overall Intensity Process Modeling and Estimation, 282
9.4 Mean Process Modeling and Estimation, 2869.5 Conditioning on Aspects of the Counting Process History, 297
Bibliographic Notes, 299Exercises and Complements, 300
10. Analysis of Correlated Failure Time Data 30210.1 Introduction, 302
10.2 Regression Models for Correlated Failure Time Data, 30310.3 Representation and Estimation of the Bivariate Survivor Function, 308
10.4 Pairwise Dependency Estimation, 31110.5 Illustration: Australian Twin Data, 313
10.6 Approaches to Nonparametric Estimationof the Bivariate Survivor Function, 315
10.7 Survivor Function Estimation in Higher Dimensions, 322Bibliographic Notes, 323
Exercises and Complements, 32411. Additional Failure Time Data Topics 328
11.1 Introduction, 32811.2 Stratified Bivariate Failure Time Analysis, 329
11.3 Fixed Study Period Survival Studies, 33411.4 Cohort Sampling and Case-Control Studies, 337
11.5 Missing Covariate Data, 34311.6 Mismeasured Covariate Data, 346
11.7 Sequential Testing with Failure Time Endpoints, 34811.8 Bayesian Analysis of the Proportional Hazards Model, 352
11.9 Some Analyses of a Particular Data Set, 361Bibliographic Notes, 369
Exercises and Complements, 371Glossary of Notation 375
Appendix A: Some Sets of Data 378Appendix B: Supporting Technical Material 396
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