{"title":"确定埃塞俄比亚儿童营养状况预测因子的贝叶斯广义线性模型","authors":"Reta Habtamu Bacha, M. Tadesse","doi":"10.15406/bbij.2019.08.00273","DOIUrl":null,"url":null,"abstract":"Malnutrition is the underlying cause of more than 2.6 million child deaths each year. Globally significant numbers of people are affected by malnutrition(undernutrition). The Food and Agriculture Organization(FAO) estimated that undernutrition affects approximately 789 million people in 2014-16.1,2 The prevalence of undernourshment and underweight among children under age five were primarily used internationally to measure and compare the burden of undernutrition.2","PeriodicalId":90455,"journal":{"name":"Biometrics & biostatistics international journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Bayesian generalized linear model for identifying predictors of child nutritional status in Ethiopia\",\"authors\":\"Reta Habtamu Bacha, M. Tadesse\",\"doi\":\"10.15406/bbij.2019.08.00273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Malnutrition is the underlying cause of more than 2.6 million child deaths each year. Globally significant numbers of people are affected by malnutrition(undernutrition). The Food and Agriculture Organization(FAO) estimated that undernutrition affects approximately 789 million people in 2014-16.1,2 The prevalence of undernourshment and underweight among children under age five were primarily used internationally to measure and compare the burden of undernutrition.2\",\"PeriodicalId\":90455,\"journal\":{\"name\":\"Biometrics & biostatistics international journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biometrics & biostatistics international journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15406/bbij.2019.08.00273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biometrics & biostatistics international journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15406/bbij.2019.08.00273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bayesian generalized linear model for identifying predictors of child nutritional status in Ethiopia
Malnutrition is the underlying cause of more than 2.6 million child deaths each year. Globally significant numbers of people are affected by malnutrition(undernutrition). The Food and Agriculture Organization(FAO) estimated that undernutrition affects approximately 789 million people in 2014-16.1,2 The prevalence of undernourshment and underweight among children under age five were primarily used internationally to measure and compare the burden of undernutrition.2