STAT W 3105x Applied Statistical Methods
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.
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.