Skip to main content

Binomial Regression with Misclassification

Buy Article:

$51.00 plus tax (Refund Policy)

Abstract:

Summary. 

Motivated by a study of human papillomavirus infection in women, we present a Bayesian binomial regression analysis in which the response is subject to an unconstrained misclassification process. Our iterative approach provides inferences for the parameters that describe the relationships of the covariates with the response and for the misclassification probabilities. Furthermore, our approach applies to any meaningful generalized linear model, making model selection possible. Finally, it is straightforward to extend it to multinomial settings.

Keywords: Bayesian analysis; Binomial regression; Generalized linear model; Misclassification

Document Type: Research Article

DOI: https://doi.org/10.1111/1541-0420.00077

Affiliations: 1: Instituto Superior Técnico, e Centro de Matemática e Aplicações, Universidade Técnica de Lisboa, Portugal 2: Department of Epidemiology and Biostatistics, University of California, San Francisco, California, U.S.A.

Publication date: 2003-09-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more