People Innovation Excellence

Survival Analysis

Learning Outcomes

At the end of the course, students should be able to: Know and understand time to event data for analysis and modeling; and to apply various techniques of statistic analysis at censored survival time and truncated survival time

Topics

  1. Basic quantities and models
  2. Censoring and truncation
  3. Nonparametric estimation of basic quantities for right censored and left truncated data
  4. Hypothesis testing
  5. Semiparametric proportional hazards regression with fixed covariates
  6. Refinements of the semiparametric proportional hazard models
  7. Regression Diagnostics
  8. Inference for parametric regression models

 


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