EH 550: Special Topics in Environmental Health

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.

Note: This course has priority enrollment. Cross-Registrants and Non-Degree Students will be enrolled on a space available basis after the enrollment deadline for the course

Prerequisite: BST 201 or PHS2000A. HSPH: EH 550 Topic 2. 


Andrea Bellavia



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  • [Course titles in brackets] indicate that the course is not scheduled to be taught during the 2020-2021 academic year, but may be offered in an alternate year.
  • An asterisk (*) before a course number indicates that a student must obtain the instructor's permission in order to enroll in the course.

Harvard University
Center for the Environment

Address: 26 Oxford Street, 4th Floor, Cambridge
Phone: (617) 495-0368

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