Introduces maximum likelihood estimation and extends the linear model to several "generalized linear models." Provides students with the skills to analyze and understand a broad class of outcome variables and data structures such as dichotomous outcomes, counts, ordered and unordered categorical outcomes, and bounded variables. Also examines several special topics such as multilevel models, causal inference, and missing data. Prereqs., PSCI 7075, 7085 and 7095 (all minimum grade B-). Restricted to graduate students in PSCI.
