Statistical Methods II

Catalog description

This course is the second half of a two-semester sequence focused on modern data analysis, advanced statistical modeling, and programming in R and R Markdown. The course emphasizes placing biological, medical and health research questions into a statistical context, and thinking effectively about practical questions of design and analysis, while minimizing theory. Course projects focus on using modern tools to ingest, tidy, manage, explore (transform, visualize and model) and communicate about data. Foundational topics discussed in the second semester build on the work done in the first, and include data spending, estimating and assessing models built with multiple engines in replicable ways using the tidymodels framework, as well as logistic regression and generalized linear models for counts and multi-categorical data, and introductions to modeling weighted, time-to-event and multi-level data. The prerequisite is Statistical Methods I, but well-prepared students may seek a waiver from the instructor. Offered as CRSP 432 , MPHP 432 , and PQHS 432 . Prereq: MPHP 431 .