Metadata
Science Adult Learning Evaluate Hard
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Metadata

  • Subject

    Science

  • Education level

    Adult Learning

  • Cognitive goals

    Evaluate

  • Difficulty estimate

    Hard

  • Tags

    causal inference, observational epidemiology, policy, propensity scores, instrumental variables, g-methods

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess learners' ability to evaluate the appropriateness, assumptions, and limitations of causal inference methods applied to observational epidemiologic data for informing public health policy. Scope includes DAG-based identification, confounding control (matching, propensity scores, weighting), instrumental variables, difference-in-differences and interrupted time series, target trial emulation, g-methods (g-formula, MSM, g‑estimation), sensitivity analyses, diagnostics, transportability, and interpretation of results for policy decisions.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.