Semiparametric Bayesian Density Estimation With Disparate Data Sources: A Meta-Analysis of Global Ch...
Semiparametric Bayesian Density Estimation With Disparate Data Sources: A Meta-Analysis of Global Childhood Undernutrition
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Alexandria: Taylor & Francis
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English
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Alexandria: Taylor & Francis
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Contents
Undernutrition, resulting in restricted growth, and quantified here using height-for-age z-scores, is an important contributor to childhood morbidity and mortality. Since all levels of mild, moderate, and severe undernutrition are of clinical and public health importance, it is of interest to estimate the shape of the z-scores' distributions. We pr...
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Semiparametric Bayesian Density Estimation With Disparate Data Sources: A Meta-Analysis of Global Childhood Undernutrition
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TN_cdi_proquest_journals_1734290364
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1734290364
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ISSN
1537-274X,0162-1459
E-ISSN
1537-274X
DOI
10.1080/01621459.2014.937487
