Spatial quantile regression using INLA with applications to childhood overweight in Malawi

Spatial and Spatio-temporal Epidemiology

Volumn 13, Issue , 2015, Pages 7-14

  Mtambo, Owen P L ^a   Masangwi, Salule J ^b   Kazembe, Lawrence N M ^c  

^a NAMIBIA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Namibia)

^b UNIVERSITY OF MALAWI   (Malawi)

^c UNIVERSITY OF NAMIBIA   (Namibia)

Author keywords

Childhood overweight; Fully Bayesian; INLA; Intrinsic CAR; Quantile regression; Structured spatial effects

Indexed keywords

AGE; ARTICLE; BAYES THEOREM; BODY MASS; CHILD; CHILD NUTRITION; CHILDHOOD OBESITY; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DEMOGRAPHY; FEMALE; HUMAN; INTEGRATED NESTED LAPLACE APPROXIMATIONS; MAJOR CLINICAL STUDY; MALAWI; MALE; MALNUTRITION; MOTHER CHILD RELATION; PRIORITY JOURNAL; REGRESSION ANALYSIS; RISK FACTOR; SOCIAL DETERMINANTS OF HEALTH; SOCIOECONOMICS; SPATIAL ANALYSIS; SPATIAL QUANTILE REGRESSION; STATISTICAL MODEL; ALGORITHM; HEALTH SURVEY; PEDIATRIC OBESITY; PROCEDURES; SPATIAL REGRESSION;

ALGORITHMS; BAYES THEOREM; CHILD; FEMALE; HEALTH SURVEYS; HUMANS; MALAWI; MALE; PEDIATRIC OBESITY; SOCIOECONOMIC FACTORS; SPATIAL REGRESSION;

EID: 84928336492     PISSN: 18775845     EISSN: 18775853     Source Type: Journal    
DOI: 10.1016/j.sste.2015.04.001     Document Type: Article

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