Random effects logistic models for analysing efficacy of a longitudinal randomized treatment with non-adherence.
Random effects logistic models for analysing efficacy of a longitudinal randomized treatment with non-adherence.
复制标题
用于分析非依从性纵向随机治疗疗效的随机效应逻辑模型。
DOI：
10.1002/sim.2313
复制
发表时间：
2006
影响因子：
2
通讯作者：
Cheng,Jing
中科院分区：
文献类型：
--
作者：
Small,DylanS;TenHave,ThomasR;Joffe,MarshallM;Cheng,Jing
We present a random effects logistic approach for estimating the efficacy of treatment for compliers in a randomized trial with treatment non-adherence and longitudinal binary outcomes. We use our approach to analyse a primary care depression intervention trial. The use of a random effects model to estimate efficacy supplements intent-to-treat longitudinal analyses based on random effects logistic models that are commonly used in primary care depression research. Our estimation approach is an extension of Nagelkerke et al.'s instrumental variables approximation for cross-sectional binary outcomes. Our approach is easily implementable with standard random effects logistic regression software. We show through a simulation study that our approach provides reasonably accurate inferences for the setting of the depression trial under model assumptions. We also evaluate the sensitivity of our approach to model assumptions for the depression trial. Copyright© 2005 John Wiley & Sons, Ltd.
