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Functional Logistic Mixed-Effects Models for Learning Curves From Longitudinal Binary Data

PURPOSE: We present functional logistic mixed-effects models (FLMEMs) for estimating population and individual-level learning curves in longitudinal experiments. METHOD: Using functional analysis tools in a Bayesian hierarchical framework, the FLMEM captures nonlinear, smoothly varying learning curv...

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Detalhes bibliográficos
Publicado no:J Speech Lang Hear Res
Main Authors: Paulon, Giorgio, Reetzke, Rachel, Chandrasekaran, Bharath, Sarkar, Abhra
Formato: Artigo
Idioma:Inglês
Publicado em: American Speech-Language-Hearing Association 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6802892/
https://ncbi.nlm.nih.gov/pubmed/30950747
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1044/2018_JSLHR-S-ASTM-18-0283
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