Measuring explained variation in linear mixed effects models

We generalize the well‐known R2 measure for linear regression to linear mixed effects models. Our work was motivated by a cluster‐randomized study conducted by the Eastern Cooperative Oncology Group, to compare two different versions of informed consent document. We quantify the variation in the res...

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Veröffentlicht in:	Statistics in medicine 2003-11, Vol.22 (22), p.3527-3541
1. Verfasser:	Xu, Ronghui
Format:	Artikel
Sprache:	eng
Schlagworte:	Antipsychotic Agents - therapeutic use Bayes Theorem Biological and medical sciences Cluster Analysis Computer Simulation Consent Forms - standards empirical Bayes explained randomness Humans Kullback-Leibler information Linear Models Medical sciences Monte Carlo Method predicted random effects Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects) Randomized Controlled Trials as Topic - methods residual sum of squares Schizophrenia - drug therapy Technology. Biomaterials. Equipments. Material. Instrumentation
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