**STAT W3105x Applied Statistical Methods** *3 pts.* Prerequisites: At least one, and preferably both, of STAT UN2103 and UN2104 are strongly recommended. Students without
programming experience in R might find STAT UN2102 very helpful. This course is intended to give
students practical experience with statistical methods beyond linear
regression and categorical data analysis. The focus will be on understanding
the uses and limitations of models, not the mathematical foundations for the
methods. Topics that may be covered include random and mixed-effects models,
classical non-parametric techniques, the statistical theory causality, sample
survey design, multi-level models, generalized linear regression, generalized
estimating equations and over-dispersion, survival analysis including the
Kaplan-Meier estimator, log-rank statistics, and the Cox proportional hazards
regression model. Power calculations and proposal and report writing will be
discussed. CC/GS: Partial Fulfillment of Science
Requirement.