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Analysis of data fromgroup-randomizedtrials with repeatobservations on thesame groups David M. MurrayPeter J. HannanRussell D. Wolfinger1998 год

Analysis of data from group-randomized trials with repeat observations on the same groups
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Аннотация: This study used Monte Carlo simulations to evaluate the performance of alternative models for the analysis of group-randomized trials having more than two time intervals for data collection. The major distinction among the models tested was the sampling variance of the intervention effect. In the mixed-model ANOVA, the sampling variance of the intervention effect is based on the variance among group×time-interval means. In the random coefficients model, the sampling variance of the intervention effect is based on the variance among the group-specific slopes. These models are equivalent when the design includes only two time intervals, but not when there are more than two time intervals. The results indicate that the mixed-model ANOVA yields unbiased estimates of sampling variation and nominal type I error rates when the group-specific time trends are homogenous. However, when the group-specific time trends are heterogeneous, the mixed-model ANOVA yields downwardly biased estimates of sampling variance and inflated type I error rates. In contrast, the random coefficients model yields unbiased estimates of sampling variance and the nominal type I error rate regardless of the pattern among the groups. We discuss implications for the analysis of group-randomized trials with more than two time intervals. © 1998 John Wiley & Sons, Ltd.
Год издания: 1998
Авторы: David M. Murray, Peter J. Hannan, Russell D. Wolfinger, William L. Baker, James H. Dwyer
Издательство: Wiley
Источник: Statistics in Medicine
Ключевые слова: Advanced Causal Inference Techniques, Statistical Methods in Clinical Trials, Statistical Methods and Bayesian Inference
Другие ссылки: Statistics in Medicine (HTML)
PubMed (HTML)