Metadata
Science Adult Learning Analyze Hard
Metadata
  • Subject

    Science

  • Education level

    Adult Learning

  • Cognitive goals

    Analyze

  • Difficulty estimate

    Hard

  • Tags

    confounding, selection bias, causal inference, DAGs, propensity scores, instrumental variables

  • Number of questions

    5

  • Created on

  • Generation source

    Generated by GenOER Admin in collaboration with agent GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • 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.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.