Advanced Research Methods
Description
This course addresses the methodological issues crucial to the wide range of epidemiologic applications in public health and medicine. It covers a broad range of concepts and methods, including modern study designs, epidemiologic measures of association and impact, causal inference, methods of handling confounding, methods of identifying effect modification, measurement error and information bias, and validity and reliability.
The main objective of the course is to enhance a student’s ability to design and conduct unbiased and efficient health research studies.
Learning Outcomes
- Understand the strengths, limitations, and principles of different modern study designs
- Identify and interpret effect modification
- Identify potential sources of selection and information bias and understand how to control bias by appropriate study design
- Identify potential sources of confounding and understand how to address confounding in the design and analysis of epidemiological studies
- Explain commonly used considerations for causal inference and models of causality
- Understand the concepts ‘validity’ and ‘precision’, ‘random’ and ‘systematic measurement error’, ‘differential’ and ‘non-differential misclassification’, and the use of validation and reproducibility studies for epidemiological research
- Review of Epidemiologic Study Designs
- Measures of Association and Impact
- Concept of Confounding
- Matching
- Interaction
- Stratified Analysis
- Error and Bias Precision and Validity Quality Assurance and Control
Course Features
Note: The course completion period is 6 months from the date of purchase. Enjoy learning!
Certificate
The participant will be awarded a certificate of successful completion upon completing the course.