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- Mariana Rodrigues‐Motta
- Department of Statistics State University of Campinas São Paulo Brazil
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- Diana Milena Galvis Soto
- Department of Statistics State University of Campinas São Paulo Brazil
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- Victor H. Lachos
- Department of Statistics State University of Campinas São Paulo Brazil
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- Filidor Vilca
- Department of Statistics State University of Campinas São Paulo Brazil
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- Valéria Troncoso Baltar
- Department of Epidemiology and Biostatistics, Institute of Community Health Fluminense Federal University Niterói, Rio de Janeiro Brazil
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- Eliseu Verly Junior
- Department of Epidemiology, Institute of Social Medicine Rio de Janeiro State University Rio de Janeiro Brazil
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- Regina Mara Fisberg
- Department of Nutrition, School of Public Health University of São Paulo São Paulo Brazil
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- Dirce Maria Lobo Marchioni
- Department of Nutrition, School of Public Health University of São Paulo São Paulo Brazil
抄録
<jats:p>In this research article, we propose a class of models for positive and zero responses by means of a zero‐augmented mixed regression model. Under this class, we are particularly interested in studying positive responses whose distribution accommodates skewness. At the same time, responses can be zero, and therefore, we justify the use of a zero‐augmented mixture model. We model the mean of the positive response in a logarithmic scale and the mixture probability in a logit scale, both as a function of fixed and random effects. Moreover, the random effects link the two random components through their joint distribution and incorporate within‐subject correlation because of the repeated measurements and between‐subject heterogeneity. A Markov chain Monte Carlo algorithm is tailored to obtain Bayesian posterior distributions of the unknown quantities of interest, and Bayesian case‐deletion influence diagnostics based on the <jats:italic>q</jats:italic>‐divergence measure is performed. We apply the proposed method to a dataset from a 24hour dietary recall study conducted in the city of São Paulo and present a simulation study to evaluate the performance of the proposed methods. Copyright © 2015 John Wiley & Sons, Ltd.</jats:p>
収録刊行物
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- Statistics in Medicine
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Statistics in Medicine 34 (10), 1761-1778, 2015-02-11
Wiley
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詳細情報 詳細情報について
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- CRID
- 1361981470810549760
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- DOI
- 10.1002/sim.6450
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- ISSN
- 10970258
- 02776715
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- データソース種別
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- Crossref