Longitudinal analysis: linear, logistic and Poisson regression

Teacher(s)

Coletti Pietro;

Language

English

Prerequisites

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.

Content

•      Simple linear regression: model definition, estimation, interpretation and validation
•      Measures of association in epidemiology: relative risk and odds ratio
•      Confounding factors: detection and adjustment 
•      Logistic regression: model building, confounding versus effect-modifying factors, significance testing and confidence intervals
•      Poisson regression: modelling of count data, overdispersion, model selection strategies
 

Evaluation methods

Written exam

Faculty or entity

> FSP