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Publications [#257970] of David B. Dunson

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Papers Published

  1. Wang, L; Dunson, DB, Semiparametric Bayes' Proportional Odds Models for Current Status Data with Underreporting, Biometrics, vol. 67 no. 3 (2011), pp. 1111-1118, ISSN 0006-341X [doi]
    (last updated on 2017/12/17)

    Abstract:
    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. © 2010, The International Biometric Society.

 

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