Model Estimation and Analysis: Survival Models
Nonparametric: Life table (Kaplan-Meier)
- Survival rates
- Hazard rates
- Standard errors for the hazard function
- Plot survival and hazard
- Median and mean survival time
- Variable number of intervals
- Intervals and individual data calculations
- Size of the risk set at the beginning of the period
- Stratification
- Log-rank test for homogeneity
- Generalized Wilcoxon tests for homogeneity

Semiparametric (Cox proportional hazard)
- Baseline hazard
- Covariates
- Stratification
- Plot survival, hazard and integrated hazard functions
- Keeping survival and integrated hazard values
- Time dependent covariates
- Ordered extreme value model
- Ties handled explicitly
Parametric models
- Distributions
- Weibull
- Exponential
- Lognormal
- Loglogistic
- Generalized log-gamma
- Generalized F
- Gompertz
- Inverse Gaussian
- Weibull/exponential with gamma heterogeneity
- Split population survival models
- Latent normally distributed heterogeneity (frailty)
- Censoring - left and right
- Truncation
- Keep survival probabilities and hazard rates
- Time dependent covariates
- Panel data models
- Fixed effects
- Random effects
- Random parameters
- Latent class
- Time varying covariates
- Robust covariance matrix (cluster)
- Restrictions and tests: Wald, LM, LR
- Stratification
- Weights
- Mean, median and percentiles of survival distribution (with limits)
- Predicted survival, hazard, integrated hazard (generalized residuals)
- Left and right truncation
- Heterogeneity (heteroscedasticity) in the scale parameter