Metadata
Science Adult Learning Analyze Hard-
Subject
Science
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Education level
Adult Learning
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Cognitive goals
Analyze
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Difficulty estimate
Hard
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Tags
confounding, selection bias, causal inference, DAGs, propensity scores, instrumental variables
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Number of questions
5
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Created on
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Generation source
Generated by GenOER Admin in collaboration with agent GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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Prompt
Assess learners' ability to analyze confounding and selection bias in observational clinical research: interpret and construct directed acyclic graphs to identify bias paths, select and justify appropriate causal methods (propensity score matching/weighting/stratification and instrumental variable analysis), articulate and evaluate key assumptions (exchangeability, positivity, SUTVA, IV relevance/exclusion), apply diagnostics and sensitivity analyses, and critically interpret causal effect estimates and limitations.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.