| 标题 |
 Sample sizes required to detect two-way and three-way interactions involving slope differences in mixed-effects linear models |
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| DOI |
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| 其它 |
M Heo, AC Leon - Journal of biopharmaceutical statistics, 2010 - Taylor & Francis Based on maximum likelihood estimates obtained from mixed-effects linear models, closed-form power functions are derived to detect two-way and three-way interactions that involve longitudinal course of outcome over time in clinical trials. Sample size estimates are shown to decrease with increasing within-subject correlations. It is further shown that when clinical trial designs are balanced in group sizes, the sample size required to detect an effect size for a three-way interaction is exactly fourfold that required to detect the same effect size of a two |
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