Counting Processes and Survival Analysis
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Counting Processes and Survival Analysis
Fleming, Thomas R.; Harrington, David P.
John Wiley & Sons Inc
10/2005
464
Mole
Inglês
9780471769880
15 a 20 dias
640
Descrição não disponível.
Preface. 0. The Applied Setting.
1. The Counting Process and Martingale Framework.
2. Local Square Integrable Martingales.
3. Finite Sample Moments and Large Sample Consistency of Tests and Estimators.
4. Censored Data Regression Models and Their Application.
5. Martingale Central Limit Theorem.
6. Large Sample results of the Kaplan-Meier Estimator.
7. Weighted Logrank Statistics.
8. Distribution Theory for Proportional Hazards Regression.
Appendix A: Some Results from stieltjes Integration and Probability Theory.
Appendix B: An Introduction to Weak convergence.
Appendix C: The Martingale Central Limit Theorem: Some Preliminaries.
Appendix D: Data.
Appendix E: Exercises.
Bibliography.
Notation.
Author Index.
Subject Index.
1. The Counting Process and Martingale Framework.
2. Local Square Integrable Martingales.
3. Finite Sample Moments and Large Sample Consistency of Tests and Estimators.
4. Censored Data Regression Models and Their Application.
5. Martingale Central Limit Theorem.
6. Large Sample results of the Kaplan-Meier Estimator.
7. Weighted Logrank Statistics.
8. Distribution Theory for Proportional Hazards Regression.
Appendix A: Some Results from stieltjes Integration and Probability Theory.
Appendix B: An Introduction to Weak convergence.
Appendix C: The Martingale Central Limit Theorem: Some Preliminaries.
Appendix D: Data.
Appendix E: Exercises.
Bibliography.
Notation.
Author Index.
Subject Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
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Preface. 0. The Applied Setting.
1. The Counting Process and Martingale Framework.
2. Local Square Integrable Martingales.
3. Finite Sample Moments and Large Sample Consistency of Tests and Estimators.
4. Censored Data Regression Models and Their Application.
5. Martingale Central Limit Theorem.
6. Large Sample results of the Kaplan-Meier Estimator.
7. Weighted Logrank Statistics.
8. Distribution Theory for Proportional Hazards Regression.
Appendix A: Some Results from stieltjes Integration and Probability Theory.
Appendix B: An Introduction to Weak convergence.
Appendix C: The Martingale Central Limit Theorem: Some Preliminaries.
Appendix D: Data.
Appendix E: Exercises.
Bibliography.
Notation.
Author Index.
Subject Index.
1. The Counting Process and Martingale Framework.
2. Local Square Integrable Martingales.
3. Finite Sample Moments and Large Sample Consistency of Tests and Estimators.
4. Censored Data Regression Models and Their Application.
5. Martingale Central Limit Theorem.
6. Large Sample results of the Kaplan-Meier Estimator.
7. Weighted Logrank Statistics.
8. Distribution Theory for Proportional Hazards Regression.
Appendix A: Some Results from stieltjes Integration and Probability Theory.
Appendix B: An Introduction to Weak convergence.
Appendix C: The Martingale Central Limit Theorem: Some Preliminaries.
Appendix D: Data.
Appendix E: Exercises.
Bibliography.
Notation.
Author Index.
Subject Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
