General growth mixture modeling for randomized preventive interventions
General growth mixture modeling for randomized preventive interventions
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DOI：
10.1093/biostatistics/3.4.459
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发表时间：
2002-12-01
期刊：
影响因子：
2.1
通讯作者：
Liao, J
中科院分区：
文献类型：
--
作者：
Muthén, B;Brown, CH;Liao, J
本文提出了生长混合模型来评估纵向随机试验的干预效果。生长混合模型使用有限混合随机效应模型表示受试者之间未观察到的异质性。该方法允许人们检查干预措施对具有不同类型增长轨迹的亚组的影响。在检查对包含规范增长和非规范增长的个体的人群的影响时，这种模型提供了丰富的信息。该分析确定了亚组成员资格，并允许对不同亚组的干预效果进行基于理论的建模。举了一个关于巴尔的摩公立学校旨在减少攻击性课堂行为的随机干预的例子，其中只有最初更具攻击性的学生才从干预中受益。
This paper proposes growth mixture modeling to assess intervention effects in longitudinal randomized trials. Growth mixture modeling represents unobserved heterogeneity among the subjects using a finite-mixture random effects model. The methodology allows one to examine the impact of an intervention on subgroups characterized by different types of growth trajectories. Such modeling is informative when examining effects on populations that contain individuals who have normative growth as well as non-normative growth. The analysis identifies subgroup membership and allows theory-based modeling of intervention effects in the different subgroups. An example is presented concerning a randomized intervention in Baltimore public schools aimed at reducing aggressive classroom behavior, where only students who were initially more aggressive showed benefits from the intervention.