Survival Analysis

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Keywords

Survival Analysis

Objectives

Survival data correspond to observations related to lifetime or duration of an individual in a broad sense. In such a situation, lifetimes or durations are not always observed exactly, since some censoring and truncation phenomenon may occur. Appropriate statistical methods have to be developed. This course will focus on these techniques.

 

Number of hours

  • Cours Magistral : 19.5h
  • Travaux Dirigés : 19.5h

Form of assessment

First session

Second session

Continuous assessment: 100%

Final examination: 0%

Remedial examination: 100 %

Remedial examination length: 2 hours

Syllabus

1. Introduction: lifetime characteristics, censoring, truncation

2. Parametric models: classical distributions, estimation for basic models, accelerated lifetime models


3. Non-parametric Methods: Nelson-Aalen and Kaplan-Meier estimators, test for the comparison of survival curves.

4. Semi-parametric models : Cox model

In brief

ECTS credits 4.0

Number of hours 39.0

Level of study Master degree level

Contact(s)

Organizational unit

Administrative contact(s)

Secrétariat de Mathématiques

Email : secretariat-mathematiques @ univ-pau.fr

Places

  • Pau