Advanced Regression for Health Data Science

Graduate

This second course on regression will cover the theory and application of generalized linear models, models for clustered and longitudinal data using random effects, and applications of penalized (regularized) regression. Additional topics such as neural networks will be explored. The course requires the R Language for Statistical Computing. 0.75 Dartmouth units; (HP, P, LP, NC) *Core Requirement for MS in Health Data Science Online Prerequisites: HSE 712 , HSE 731 Offered: Spring