Math @ Duke

Publications [#257970] of David B. Dunson
search www.stat.duke.edu.Papers Published
 Wang, L; Dunson, DB, Semiparametric Bayes' Proportional Odds Models for Current Status Data with Underreporting,
Biometrics, vol. 67 no. 3
(2011),
pp. 11111118, ISSN 0006341X [doi]
(last updated on 2017/12/17)
Abstract: Current status data are a type of intervalcensored event time data in which all the individuals are either left or right censored. For example, our motivation is drawn from a crosssectional 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. © 2010, The International Biometric Society.


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