Applying permutation tests with adjustment for covariates and attrition weights to randomized trials of health-services interventions.
Applying permutation tests with adjustment for covariates and attrition weights to randomized trials of health-services interventions.
复制标题
将调整协变量和损耗权重的排列检验应用于卫生服务干预措施的随机试验。
DOI：
10.1002/sim.3453
复制
发表时间：
2009
影响因子：
2
通讯作者：
Belin,ThomasR
中科院分区：
文献类型：
--
作者：
Tang,Lingqi;Duan,Naihua;Klap,Ruth;Asarnow,JoanRosenbaum;Belin,ThomasR
Using a health‐services study as an illustrative example of longitudinal randomized field research with the potential for participants to be lost to follow‐up, we apply a permutation test where the treatment indicator variable is randomly permuted in the context of regression models with covariates and attrition weighting. The test is applied to a multi‐site randomized intervention trial of a quality‐improvement program for adolescent depression treatment in primary‐care settings, in which regression models were used to assess intervention effects with weights used to adjust for attrition bias. The foundation and motivation for this approach to the analysis are considered with attention to the demands associated with implementing such a strategy. The results from the permutation tests were qualitatively similar to the results obtained from conventional parametric models, and in fact suggested that the significance level from the conventionalt‐test was understated in this application. Copyright © 2008 John Wiley & Sons, Ltd.
