Ceci est la version 2016鈥�2017 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 cliquez ici pour consulter l'annuaire la plus r茅cente.
Vue d'ensemble
G茅n茅tique humaine : This course will introduce key statistical concepts that motivate and underlie the many statistical analysis methods currently used in analysis of genetic and genomic data. Emphasis will be placed on understanding how these concepts can influence study designs and analysis choices, and when substantial unanticipated biases can occur. Concepts include an understanding of variability and error, bias and its sources, independence, how distributions of variables impact analysis, outliers, covariates, missing data, the goals of data cleaning, multiple testing, and some consideration of clustering and prediction models.
Terms: Automne 2016
Instructors: Greenwood, Celia M T (Fall)
Prerequisite(s): A course introducing basic statistics or equivalent knowledge. Registration is by permission of the course coordinator.