Metadata
Science Graduate Apply Medium
Metadata
  • Subject

    Science

  • Education level

    Graduate

  • Cognitive goals

    Apply

  • Difficulty estimate

    Medium

  • Tags

    mixed-effects models, longitudinal data, biomedical trials, random effects, model diagnostics, R

  • 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 apply mixed-effects (multilevel) models to analyze longitudinal biomedical trial data, including specifying appropriate fixed and random effects, choosing covariance structures for repeated measures, handling missingness and time-varying covariates, interpreting fixed and random parameter estimates and interactions, performing model selection and diagnostics (AIC, likelihood-ratio tests, residual checks), and implementing analyses in common software (e.g., R lme4/nlme or SAS).
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.