Choice of units of analysis and modeling strategies in multilevel hierarchical models

@article{Abrahantes2004ChoiceOU,
  title={Choice of units of analysis and modeling strategies in multilevel hierarchical models},
  author={Jos{\'e} Corti{\~n}as Abrahantes and Geert Molenberghs and Tomasz Burzykowski and Ziv Shkedy and Ariel Alonso Abad and Didier Renard},
  journal={Computational Statistics & Data Analysis},
  year={2004},
  volume={47},
  pages={537-563}
}
Hierarchical models are common in complex surveys, psychometric applications, as well as agricultural and biomedical applications, to name but a few. The context of interest here is meta-analysis, with emphasis on the use of such an approach in the evaluation of surrogate endpoints in randomized clinical trials. The methodology rests on the ability to replicate the e8ect of treatment on both the true endpoint, as well as the candidate surrogate endpoint, across a number of trials. However… CONTINUE READING
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