Event History Analysis with 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

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• Probabilidade e Estatística
• Métodos de pesquisa: geral
• Pesquisa e estatística social
• Metodologia psicológica

Event History Analysis;Cox Regression;Data Set;survival analysis;Cumulative Hazard Functions;Hazard Function;Poisson regression;LRT;R;Accelerated Failure Time Models;parametric models;Proportional Hazards;causality;Cumulative Distribution Function;competing risks;Cumulative Hazards;reproducible research;Risk Set;Rstudio;Left Truncation;event survival analysis;Lexis Diagram;R package;Proportional Hazards Model;statistical computing environment;Baseline Cumulative Hazard;Baseline Hazard Function;Frailty Model;Cox Regression Model;Regression Model;Birth Intervals;Survival Functions;Aft;Martingale Residuals;Proportional Hazards Family;Gompertz Distribution