Informatics Seminar Series
When: Thursday, July 22, 2021, 12:00 - 1:00 pm
To join online, please contact Liz Workman.
Understanding whether a biomarker or behavior causes ill health is central to evidence based medicine, drug development, and better informed clinical decision making. Ideally, evidence of causal effects comes from well conducted randomized controlled trials (RCTs). But RCTs are expensive,sometimes invasive, and cumbersome. More so large RCTs may take 5-7 years conclude. Clinicians and researchers are well versed in the strengths and limitations of such trials and have an increasingly sophisticated understanding of traditional analyses of observational studies. But they may be less aware of the strengths (and limitations) of a more recently developed approach to analyzing observational data known as Mendelian randomization.
The objective of this introductory lecture is to provide explanations of core concepts, recent developments, and uses of Mendelian randomization methods especially in areas of emergency use medication such as the recent COVID 19 pandemic.