This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMIR Theme Issue: COVID-19 Special Issue (2452) Food Sciences and Nutrition Engineering (54) Infectious Diseases (non-STD/STI) (1575) Obesity and Nutrition as Public Health Problem (304) Outbreak and Pandemic Preparedness and Management (1728)

Published on in Vol 7, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22717, first published .
Diet, Nutrition, Obesity, and Their Implications for COVID-19 Mortality: Development of a Marginalized Two-Part Model for Semicontinuous Data

Diet, Nutrition, Obesity, and Their Implications for COVID-19 Mortality: Development of a Marginalized Two-Part Model for Semicontinuous Data

Diet, Nutrition, Obesity, and Their Implications for COVID-19 Mortality: Development of a Marginalized Two-Part Model for Semicontinuous Data

Authors of this article:

Naser Kamyari1 Author Orcid Image ;   Ali Reza Soltanian2 Author Orcid Image ;   Hossein Mahjub3 Author Orcid Image ;   Abbas Moghimbeigi4 Author Orcid Image
Article Authors Cited by (25) Tweetations (6) Metrics

Journals

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  14. Kamyari N, Soltanian A, Mahjub H, Moghimbeigi A, Seyedtabib M. Zero-augmented beta-prime model for multilevel semi-continuous data: a Bayesian inference. BMC Medical Research Methodology 2022;22(1) View
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