Semester:
- Professor: John Spengler, Ramon Sanchez Pina
- Term: Spring
- Days: T, Th
- Time: 11:30AM-1:00PM
- School: Harvard T.H. Chan School of Public Health
- Course ID: 207083
This course will provide an introduction to different techniques to analyze exposure to mixtures in environmental health. Topics will include statistical methods for highly-correlated exposures such as: classical methods (multiple regression) and their limitations; principal component analysis; hierarchical modeling; variable selection techniques (Lasso, ridge regression, elastic net), Bayesian Kernel Machine Regression (BKMR); Weighted Quantile Sum (WQS) Regression. The course will integrate lectures presenting the methods, case-studies from recently published papers, and hands-on data sessions. Lectures will present in a rigorous yet non-theoretical way the methods of interest, discussing when each method presented is appropriate for use and for which research question it can be applied.