Courses Taught by Trivellore Raghunathan
BIOSTAT617: Theory and Methods of Sample Design (Soc 717 and Stat 580 and SurvMeth 617)
- Graduate level
- Residential
- Winter term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Trivellore Raghunathan (Residential);
- Prerequisites: Three or more courses in statistics, and preferably a course in methods of survey sampling
- Description: Theory underlying sample designs and estimation procedures commonly used in survey practice.
- This course is cross-listed with Stats 580 Soc 717 SurvMeth617 in the Rackham department.
- Syllabus for BIOSTAT617
BIOSTAT687: Statistical Methods For Health Disparity Research
- Graduate level
- Residential
- Fall term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Trivellore Raghunathan (Residential);
- Prerequisites: Biostat 601, 602, 650 and 651 or equivalents
- Advisory Prerequisites: Biostat 682 or Biostat 675
- Description: Healthy People initiatives over the past several decades have been developed to eliminate health disparities. The objective of this course is to consider several statistical methodological issues in assessing and understanding the reasonings behind health disparities. There is a strong need for bringing together a set of statistical methods to address design, measurement and analysis tuned to health disparity research.
- Learning Objectives: .1. Understand historical perspectives on health disparities and determinants of health 2. Understand various measures of health disparity and methods for constructing inferences about them 3. Understand methods for analyzing data from complex surveys 4. Understand methods for assessing psychometric properties of measurements used in health disparity research across subpopulations through measurement error and Item response theory modeling 5. Understand statistical techniques to assess the reasons for health disparity using regression, propensity score and causal inferential techniques 6. Understand small area/domain estimation techniques to understand geographical variation in health disparities
- Syllabus for BIOSTAT687