Using Propensity Scores for Causal Inference in Critical Care
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Video Summary
Asset Subtitle
Research, 2023
Asset Caption
The bias created by confounders significantly affects interpretation of outcome in observational studies. The webcast from Discovery, the Critical Care Research Network, will:

Analyze the potential impact of confounders on the interpretation of outcomes in observational studies
Evaluate the effectiveness of covariate adjustment using multivariable regression models in controlling for confounders in observational studies
Create a plan to apply propensity score methods to match individuals in the control group to the exposure group based on equal propensity scores
Meta Tag
Content Type Webcast
Knowledge Area Research
Membership Level Professional
Membership Level Select
Tag Research
Tag Clinical Research Design
Year 2023
Dr. Todd Miano
epidemiology professor
University of Pennsylvania
propensity scores
causal inference
critical care research
observational studies
treatment groups


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