STA 410SL

Multilevel and Hierarchical Models

Duke University · UGRD · Fall 2026

1 section
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Variance component models with fixed and random effects. Multilevel and hierarchical models for longitudinal and/or clustered data. Focus on model fitting and interpretation. Maximum likelihood and Bayesian inference and computation. Prerequisite: Statistical Science 360. Recommended prerequisite: R programming skills.

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Class #duke-STA410SLFall 2026UGRD1 credits
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