Visit for course dates & times.
Nota : Ceci est la version 2021鈥�2022 de l'annuaire 茅lectronique. Veuillez mettre 脿 jour l'ann茅e dans la barre d'adresse de votre navigateur pour une version plus r茅cente de cette page, ou .
Vue d'ensemble
脡pid茅miologie et biostatistiques : The course has a conceptual and analytical causal inference perspective. The nature of specific study biases resulting in non-causal components in the observed association between exposure and outcome are discussed, including endogenous selection bias, measured and unmeasured confounding, and measurement error. Methods to recover the causal effect with such biases are presented. Causal mediation analysis is discussed. Models for survival analysis are discussed as well as the problem of- and some solutions to missing data. A brief overview of genetic epidemiology principles is covered.
Terms: Hiver 2022
Instructors: Chevrier, Jonathan; Infante-Rivard, Claire (Winter)
