Metadata
Science Adult Learning Analyze Medium-
Subject
Science
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Education level
Adult Learning
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Cognitive goals
Analyze
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Difficulty estimate
Medium
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Tags
epidemiology, bias, confounding, causal inference, study design, causal diagrams
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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Prompt
Assess learners' ability to critically analyze observational epidemiology studies by identifying common sources of bias (selection, information, measurement), recognizing confounding and effect modification, evaluating design and analytic strategies for control (restriction, matching, stratification, multivariable adjustment, propensity scores), interpreting causal diagrams, and judging limits on causal inference such as temporality, residual confounding, reverse causation, and external validity.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.