A shared parameter model for the estimation of longitudinal concomitant intervention effects

摘要：

We investigate a change-point approach for modeling and estimating the regression effects caused by a concomitant intervention in a longitudinal study. Since a concomitant intervention is often introduced when a patients health status exhibits undesirable trends, statistical models without properly incorporating the intervention and its starting time may lead to biased estimates of the intervention effects. We propose a shared parameter change-point model to evaluate the pre- and postintervention time trends of the response and develop a likelihood-based method for estimating the intervention effects and other parameters. Application and statistical properties of our method are demonstrated through a longitudinal clinical trial in depression and heart disease and a simulation study.

关键词： Change-point model Concomitant intervention Likelihood Longitudinal study Shared parameter model

作者: COLIN O.WU XIN TIAN WENHUA JIANG

作者单位: Office of Biostatistics Research,National Heart,Lung and Blood Institute,Bethesda,MD 20892,USA Office of Biostatistics Research,National Heart,Lung and Blood Institute, Bethesda,MD 20892,USA

会议类型: 国际会议

会议名称: Second Joint Biostatistics Symposium(第二届生物统计国际研讨会2012)

会议地点: 北京

会议语种:英文

页码: 448-460

在线出版日期: 2012-07-08（万方平台首次上网日期，不代表论文的发表时间）