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EPI 201 Week 7 - Causal inference in observational studies & Sufficient component causes model

Single choice

In order to make causal inference in an observational study with confounding by sex, the investigator must adjust for sex in the analysis phase. This is necessary to satisfy the assumption of:

Options
A.a. Consistency
B.b. Positivity
C.c. Exchangeability
D.d. Well-defined interventions
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Step-by-Step Analysis
To start, consider what each causal assumption means in observational research. Option a: Consistency. This assumption says that the observed outcome under the actually received exposure equals the potential outcome under that exposure. It is about aligning observed data with the potential outcomes framework, not a......Login to view full explanation

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