Shah Nilesh H, Hipwell Alison E, Stepp Stephanie D, Chang Chung-Chou H
Division of Gastroenterology, Hepatology, and Nutrition, University of Pittsburgh, Pittsburgh, PA, USA.
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
J Appl Stat. 2015 Jan;42(1):1-11. doi: 10.1080/02664763.2014.928849.
In clinical research, patient care decisions are often easier to make if patients are classified into a manageable number of groups based on homogeneous risk patterns. Investigators can use latent group-based trajectory modeling to estimate the posterior probabilities that an individual will be classified into a particular group of risk patterns. Although this method is increasingly used in clinical research, there is currently no measure that can be used to determine whether an individual's group assignment has a high level of discrimination. In this study, we propose a discrimination index and provide confidence intervals of the probability of the assigned group for each individual. We also propose a modified form of entropy to measure discrimination. The two proposed measures were applied to assess the group assignments of the longitudinal patterns of conduct disorders among young adolescent girls.
在临床研究中,如果根据同质风险模式将患者分为数量可控的组,那么患者护理决策往往更容易做出。研究人员可以使用基于潜在组的轨迹建模来估计个体被归类为特定风险模式组的后验概率。尽管这种方法在临床研究中越来越常用,但目前还没有一种可用于确定个体的组分配是否具有高度区分性的度量方法。在本研究中,我们提出了一种区分指数,并为每个个体提供了分配组概率的置信区间。我们还提出了一种修正形式的熵来衡量区分性。将所提出的两种度量方法应用于评估年轻少女品行障碍纵向模式的组分配。