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Advanced statistical models

Objectives


At the end of this module, the student will have understood and be able to explain (main concepts):
-censored data
- estimation of the survival function
-random effects models .
 
The student will be able to:
-analyse censored data with R software
- model the effects of covariables
- use random effect models for repeated measurements
- apply concepts to real problems in the medical and pharmaceutical fields

Needed prerequisite


Probability and statistics
Point processes, martingales
Elements of statistical modelling.

Form of assessment

The evaluation of outcome prior learning is made as a continuous training during the semester. According ot the teaching, the assessment will be different: as a written exam, an oral exam, a record, a written report, peers review...