Classical competing risks

 Content: Continuous failure times and their causes --
 Basic probability functions --
 Univariate survial distributions --
 A time and a cause: Competing Risks --
 Some small data sets --
 Hazard functions --
 Sub-hazards and overall hazard --
 Proportional hazards --
 Regression models --
 Proportional hazards --
 Accelerated life --
 Proportional odds --
 Mean residual life --
 Parametric likelihood inference --
 The likelihood for Competing Risks --
 Forms of the likelihood function --
 Incomplete observation of C or T --
 Maximum likelihood estimates --
 Model checking --
 Goodness of fit --
 Residuals --
 Inference --
 Hypothesis tests and confidence intervals --
 Bayesian approach --
 Bayesian computation --
 Masked systems --
 Latent failure times: probability distributions --
 Basic probability functions --
 Multivariate survival distributions --
 Latent lifetimes --
 Some examples --
 Marginal vs. sub-distributions --
 Independent risks --
 The Makeham assumption --
 Proportional hazards --
 A risk-removal model --
 Likelihood functions for univariate survival data --
 Discrete and continuous failure times --
 Discrete survival distributions --
 Mixed survival distributions --
 Discrete failure times: estimation --
 Random samples: parametric estimation --
 Random samples: non-parametric estimation --
 Explanatory variables --
 Interval-censored data --
 Continuous failure times: random samples --
 The Kaplan-Meier estimator --
 The integrated and cumulative hazard functions --
 Continuous failure times: explanatory variables --
 Cox's proportional hazards model.