Metadata
Science Adult Learning Analyze Medium
Metadata
  • Subject

    Science

  • Education level

    Adult Learning

  • Cognitive goals

    Analyze

  • Difficulty estimate

    Medium

  • Tags

    epidemiology, bias, confounding, causal inference, study design, causal diagrams

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

Mock data used for demo purposes.