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Survival Data Analysis: Course Outline

Survival analysis is generally defined as a set of methods for analyzing data where the outcome variable is the time until the occurrence of an event of interest. The event can be death, occurrence of a disease, marriage, divorce, etc.

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Course Outline

  • Multi parameter analysis using large sample likelihood methods for response time data.
  • Survival function  and  hazard  function.  
  • Multi parameter  models.
  • Repair ameterization and regression-type models.
  • Likelihood   functions for  censored   data.         
  • Kaplan-Meier  (Product-limit) estimation, testing based on maximum likelihood  estimators.
  • Likelihood  ratios and score tests.
  • Computational methods including the EM. Algorithm.
  • Partial likelihood methods for proportional hazards. 
  • Analysis of grouped data.

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