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http://hdl.handle.net/1942/18581
Title: | Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness | Authors: | Poleto, Frederico Z. Paulino, Carlos Daniel Singer, Julio M. MOLENBERGHS, Geert |
Issue Date: | 2015 | Source: | STATISTICAL MODELLING, 15 (1), p. 1-23 | Abstract: | Missingness in explanatory variables requires a model for the covariates even if the interest lies only in a model for the outcomes given the covariates. An incorrect specification of the models for the covariates or for the missingness mechanism may lead to biased inferences for the parameters of interest. Previously published articles either use semi-/non-parametric flexible distributions for the covariates and identify the model via a missing at random assumption, or employ parametric distributions for the covariates and allow a more general non-random missingness mechanism. We consider the analysis of binary responses, combining a missing not at random mechanism with a nonparametric model based on a Dirichlet process mixture for the continuous covariates. We illustrate the proposal with simulations and the analysis of a dataset. | Notes: | Address for correspondence: Frederico Z. Poleto, Instituto de Matemática e Estatística, Universidade de Saao Paulo, Caixa Postal 66281, Saao Paulo, SP, 05314-970, Brazil. E-mail: frederico@poleto.com | Keywords: | Dirichlet process mixture; incomplete data; non-ignorable missingness mechanism; missing not at random; MNAR | Document URI: | http://hdl.handle.net/1942/18581 | Link to publication/dataset: | https://lirias.kuleuven.be/bitstream/123456789/489600/4/428.pdf | ISSN: | 1471-082X | e-ISSN: | 1477-0342 | DOI: | 10.1177/1471082X14549290 | ISI #: | 000349621700002 | Rights: | © 2015 SAGE Publications | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2016 |
Appears in Collections: | Research publications |
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poleto2014.pdf Restricted Access | Published version | 291.62 kB | Adobe PDF | View/Open Request a copy |
CPS201-P26-S.pdf | Peer-reviewed author version | 113.91 kB | Adobe PDF | View/Open |
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