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Longitudinal data, repeated measures, and otherwise hierarchical data can be analyzed using hierarchical models (cluster-specific or random-effects models), marginal models (such as generalized estimating equations) or conditional models (e.g., transition models in the longitudinal case). The focus here is on hierarchical models, especially for continuous outcomes.

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Linear Mixed Models for Repeated Measures and Hierarchical Data

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  • 发表日期：

    2025年

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  • Geert Molenberghs,
  • Geert Verbeke

摘要

Longitudinal data, repeated measures, and otherwise hierarchical data can be analyzed using hierarchical models (cluster-specific or random-effects models), marginal models (such as generalized estimating equations) or conditional models (e.g., transition models in the longitudinal case). The focus here is on hierarchical models, especially for continuous outcomes.