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Drs. Damaraju, Olson, and Canuso Reply

机译:博士Damaraju,Olson和Canuso回复

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We appreciate the insightful comments made by Drs. Potkin and Siu in their reference to our article. As the editorial accompanying our article observed, the proportion of missing data in our study was small (<20%). The likelihood-based mixed-model repeated-measures analysis is generally robust to departures from the missing at random assumption when the sample size is large and the number of dropouts is small (1). In our study, results were consistent between the last observation carried forward and mixed-model repeated-measures analyses of the primary efficacy endpoint (day 14) based on the intent-to-treat data set. The mixed-model repeated-measures analyses utilized PANSS score data obtained at all visits, including the dropout visit.
机译:我们感谢Drs所发表的深刻见解。 Potkin和Siu在引用我们的文章时。正如本文附带的社论所指出的,在我们的研究中丢失数据的比例很小(<20%)。当样本量大且辍学次数少时,基于似然的混合模型重复测量分析通常能够可靠地避免遗漏(1)。在我们的研究中,根据意向治疗数据集,对上次观察结果与主要疗效终点(第14天)的混合模型重复测量分析之间的结果一致。混合模型重复测量分析利用了在所有访问(包括辍学访问)中获得的PANSS得分数据。

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