Rizopoulos Dimitris, Taylor Jeremy M G, Van Rosmalen Joost, Steyerberg Ewout W, Takkenberg Johanna J M
Department of Biostatistics, Erasmus University Medical Center, 3000 CE Rotterdam, The Netherlands
Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
Biostatistics. 2016 Jan;17(1):149-64. doi: 10.1093/biostatistics/kxv031. Epub 2015 Aug 28.
Screening and surveillance are routinely used in medicine for early detection of disease and close monitoring of progression. Motivated by a study of patients who received a human tissue valve in the aortic position, in this work we are interested in personalizing screening intervals for longitudinal biomarker measurements. Our aim in this paper is 2-fold: First, to appropriately select the model to use at the time point the patient was still event-free, and second, based on this model to select the optimal time point to plan the next measurement. To achieve these two goals, we combine information theory measures with optimal design concepts for the posterior predictive distribution of the survival process given the longitudinal history of the subject.
筛查和监测在医学中常用于疾病的早期检测和病情进展的密切监测。受一项关于在主动脉位置接受人体组织瓣膜的患者的研究启发，在这项工作中，我们感兴趣的是为纵向生物标志物测量设定个性化的筛查间隔。本文的目标有两个：第一，在患者仍无事件发生的时间点适当选择要使用的模型；第二，基于该模型选择计划下一次测量的最佳时间点。为了实现这两个目标，我们将信息论度量与最优设计概念相结合，用于根据受试者的纵向病史得出生存过程的后验预测分布。
