A Bayesian Geo-Additive Modeling of Childhood Anemia in India

Autor:	Holendro Singh Chungkham, Strong P. Marbaniang, Pralip Kumar Narzary
Rok vydání:	2021
Předmět:	Computer science business.industry Anemia hemic and lymphatic diseases Bayesian probability medicine Artificial intelligence business medicine.disease Machine learning computer.software_genre computer
DOI:	10.21203/rs.3.rs-551263/v1
Popis:	Background The geographical differences that caused anaemia can be partially explained by the variability in environmental factors, particularly nutrition and infections. The studies failed to explain the non-linear effect of the continuous covariates on childhood anaemia. The present paper aimed to investigate the risk factors of childhood anaemia in India with focus on geographical spatial effect. Methods Geo-additive logistic regression models were fitted to the data to understand fixed as well as spatial effects of childhood anaemia. Logistic regression was fitted for the categorical variable with outcomes (anaemia (Hb
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::90e833c3e01042e87f79a5dd32914cbf https://doi.org/10.21203/rs.3.rs-551263/v1 Zobrazit plný text záznamu