Wang Lianming, Dunson David B
Department of Statistics, University of South Carolina, Columbia, South Carolina 29208, USA.
Biometrics. 2011 Sep;67(3):1111-8. doi: 10.1111/j.1541-0420.2010.01532.x. Epub 2010 Dec 22.
Current status data are a type of interval-censored event time data in which all the individuals are either left or right censored. For example, our motivation is drawn from a cross-sectional study, which measured whether or not fibroid onset had occurred by the age of an ultrasound exam for each woman. We propose a semiparametric Bayesian proportional odds model in which the baseline event time distribution is estimated nonparametrically by using adaptive monotone splines in a logistic regression model and the potential risk factors are included in the parametric part of the mean structure. The proposed approach has the advantage of being straightforward to implement using a simple and efficient Gibbs sampler, whereas alternative semiparametric Bayes' event time models encounter problems for current status data. The model is generalized to allow systematic underreporting in a subset of the data, and the methods are applied to an epidemiologic study of uterine fibroids.
当前状态数据是一种区间删失事件时间数据，其中所有个体要么是左删失要么是右删失。例如，我们的动机来自一项横断面研究，该研究测量了每位女性在超声检查时是否已出现肌瘤发病情况。我们提出了一种半参数贝叶斯比例优势模型，其中通过在逻辑回归模型中使用自适应单调样条非参数估计基线事件时间分布，并将潜在风险因素纳入均值结构的参数部分。所提出的方法具有使用简单高效的吉布斯采样器易于实现的优点，而替代的半参数贝叶斯事件时间模型在处理当前状态数据时会遇到问题。该模型被推广以允许数据子集中存在系统性漏报情况，并将这些方法应用于子宫肌瘤的流行病学研究。
