Sample sizes required to detect interactions between two binary fixed-effects in a mixed-effects linear regression model
Mixed-effects linear regression models have become more widely used for analysis of repeatedly measured outcomes in clinical trials over the past decade. There are formulae and tables for estimating sample sizes required to detect the main effects of treatment and the treatment by time interactions...
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Veröffentlicht in: | Computational statistics & data analysis 2009-01, Vol.53 (3), p.603-608 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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