Semiparametric bayes' proportional odds models for current status data with underreporting.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Wang, L; Dunson, DB

Published Date

  • September 2011

Published In

Volume / Issue

  • 67 / 3

Start / End Page

  • 1111 - 1118

PubMed ID

  • 21175554

Pubmed Central ID

  • 21175554

Electronic International Standard Serial Number (EISSN)

  • 1541-0420

International Standard Serial Number (ISSN)

  • 0006-341X

Digital Object Identifier (DOI)

  • 10.1111/j.1541-0420.2010.01532.x

Language

  • eng