| Call Number | 17214 |
|---|---|
| Day & Time Location |
R 1:00pm-3:50pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Yuanjia Wang |
| Type | SEMINAR |
| Method of Instruction | In-Person |
| Course Description | The Statistical Practices and Research for Interdisciplinary Sciences (SPRIS, P9185) is a required course for the PhD and DrPH students in the Department of Biostatistics. The goal is to prepare doctoral students to be effective statisticians to collaborate in an interdisciplinary team and to identify novel statistical research problems with important public health and medical applications. The course aims to provide guidelines and insights of the arts and sciences of consulting, collaboration, and translation of statistical methods to medical studies. Practically useful technical skills acquired from previous coursework will be enhanced and illustrated through applications to real world problems in class projects. Important statistical issues currently undergoing extensive debate will be introduced. Examples of conducting original statistical research to develop new methods addressing real world challenges will be discussed. Career-development related topics will be covered to prepare students to become effective independent and interdisciplinary researchers. Class projects will showcase examples of how to analyze real world data. |
| Web Site | Vergil |
| Department | Biostatistics |
| Enrollment | 5 students (10 max) as of 9:14PM Wednesday, November 20, 2024 |
| Subject | Biostatistics |
| Number | P9185 |
| Section | 001 |
| Division | School of Public Health |
| Open To | GSAS, Public Health |
| Section key | 20241BIST9185P001 |