Courses Taught by Michael Elliot
BIOSTAT681: Introduction to Causal Inference
- Graduate level
- Fall term(s) for residential students;
- 3 Credit Hour(s) for residential students;
- Instructor(s): Elliot, Michael (Residential);
- Prerequisites: None
- Advisory Prerequisites: Biostats 601, 602, 650, and 651
- Description: This course is designed to introduce students to basic of causal inference, including potential outcomes, counterfactuals, confounding, mediation, and instrumental variables. We will explore the identification and estimation of causal effects via the use of principle stratification, marginal structural models, and directed acyclic graphs.
- Learning Objectives: At the end of the course, students should be able to • Define concepts including potential outcomes, confounding, and mediation. • Explain the purpose of randomization for causal inference. • Explain the concept of principal stratification/casual association and use the relevant statistical methods to make causal inference under the casual association paradigm. • Explain the concepts of direct and indirect effects/casual effects and use the relevant statistical methods to make causal inference under the casual effects paradigm. • Understand how instrumental variables can be related to other causal inference approaches. • Consider the use of directed acyclic graphs (DAGs) to define causal concepts and derive conditions of identifiability.
BIOSTAT699: Analysis of Biostatistical Investigations
- Graduate level
- Winter term(s) for residential students;
- 4 Credit Hour(s) for residential students;
- Instructor(s): Taylor, Jeremy Boonstra, Philip Elliot, Michael (Residential);
- Prerequisites: Registration for last term of studies to complete MS or MPH
- Description: Identifying and solving design and data analysis problems using a wide range of biostatistical methods. Written and oral reports on intermediate and final results of case studies required.
- Syllabus for BIOSTAT699
|Department||Program||Degree||Competency||Specific course(s) that allow assessment||BIOSTAT||MPH||Interpret the results of statistical analysis to public health audience||BIOSTAT699||BIOSTAT||MPH||Write scientific reports based on statistical analysis for effective collaboration with public health related scientists in epidemiology, health management and policy, environmental health sciences, nutrition, and health behavior and health education||BIOSTAT699||BIOSTAT||MS||Interpret the results of statistical analysis in a variety of health-related areas (e.g. public health, medicine, genetics, biology, psychology, economics, management and policy, nursing, or pharmacy) for the broad scientific community||BIOSTAT699||BIOSTAT||MS||Communicate statistical analysis through written scientific reporting for public health, medical, and basic scientists, and/or educated lay audiences||BIOSTAT699||BIOSTAT||PhD||Communicate through written and oral presentation based on statistical analysis for audience from a variety of health-related areas (e.g. public health, medicine, genetics, biology, psychology, nursing, or pharmacy) and for the broad scientific community||BIOSTAT699|