printer friendly pageEDUC 260A: Statistical Methods for Group Comparisons and Causal Inference (HRP 239, STATS 209)
Critical examination of statistical methods in social science and life sciences applications, especially for cause and effect determinations. Topics: mediating and moderating variables, potential outcomes framework, encouragement designs, multilevel models, matching and propensity score methods, analysis of covariance, instrumental variables, compliance, path analysis and graphical models, group comparisons with longitudinal data. See
http://rogosateaching.com/stat209/. Prerequisite: intermediate-level statistical methods.
Last offered: Winter 2016
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