Event History Analysis with R
portes grátis
Event History Analysis with R
Brostroem, Goeran
Taylor & Francis Ltd
01/2024
304
Mole
Inglês
9781032123202
15 a 20 dias
Descrição não disponível.
1. Event History and Survival Data
2. Single sample data
3. Proportional Hazards and Cox Regression
4. Explanatory Variables and Regression
5. Poisson Regression
6. More on Cox Regression
7. Register-Based Survival Data Models
8. Parametric Models
9. Multivariate survival models
10. Causality and Matching
11. Competing risks models
Appendix A. Basic statistical concepts
Appendix B. Survival distributions
Appendix C. A brief introduction to R
Appendix D. Survival packages in R
2. Single sample data
3. Proportional Hazards and Cox Regression
4. Explanatory Variables and Regression
5. Poisson Regression
6. More on Cox Regression
7. Register-Based Survival Data Models
8. Parametric Models
9. Multivariate survival models
10. Causality and Matching
11. Competing risks models
Appendix A. Basic statistical concepts
Appendix B. Survival distributions
Appendix C. A brief introduction to R
Appendix D. Survival packages in R
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
social science statistics;time-to-event modeling;incomplete data analysis;register-based data;multivariate survival models;cohort statistics;advanced event history analysis in R
1. Event History and Survival Data
2. Single sample data
3. Proportional Hazards and Cox Regression
4. Explanatory Variables and Regression
5. Poisson Regression
6. More on Cox Regression
7. Register-Based Survival Data Models
8. Parametric Models
9. Multivariate survival models
10. Causality and Matching
11. Competing risks models
Appendix A. Basic statistical concepts
Appendix B. Survival distributions
Appendix C. A brief introduction to R
Appendix D. Survival packages in R
2. Single sample data
3. Proportional Hazards and Cox Regression
4. Explanatory Variables and Regression
5. Poisson Regression
6. More on Cox Regression
7. Register-Based Survival Data Models
8. Parametric Models
9. Multivariate survival models
10. Causality and Matching
11. Competing risks models
Appendix A. Basic statistical concepts
Appendix B. Survival distributions
Appendix C. A brief introduction to R
Appendix D. Survival packages in R
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
