| Call Number | 16007 |
|---|---|
| Day & Time Location |
T 5:00pm-7:50pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Marianthi-Ann Kioumourtzoglou |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course will introduce advanced methods and tools commonly used in Environmental Health Sciences. These topics include advanced regression techniques especially pertinent to environmental health, methods to quantify and correct for exposure measurement error, mixtures methods, etc. Each class will have two components: a lecture and a coding lab. Although other courses in the School and other Departments might also present some of the methods covered here, the emphasis of this course will be on applications in EHS specifically and the appropriateness, assumptions, strength, limitations and interpretation of results in the EHS framework. Air pollution will be primarily used in class as the example exposure of interest (as many of these methods were first used in air pollution health studies), but not exclusively. R will be used for all coding. |
| Web Site | Vergil |
| Department | Environmental Health Sciences |
| Enrollment | 0 students (35 max) as of 9:14PM Wednesday, November 20, 2024 |
| Subject | Environmental Health Sciences |
| Number | P8332 |
| Section | 001 |
| Division | School of Public Health |
| Open To | GSAS, Public Health |
| Note | Priorities: EHS students |
| Section key | 20251EHSC8332P001 |