A Bayesian multinomial model to analyse spatial patterns of childhood co-morbidity in Malawi

European Journal of Epidemiology

Volumn 22, Issue 8, 2007, Pages 545-556

  Kazembe, Lawrence N ^a,b   Namangale, Jimmy J ^a  

^a UNIVERSITY OF MALAWI   (Malawi)

^b SOUTH AFRICAN MEDICAL RESEARCH COUNCIL   (South Africa)

Author keywords

Bayesian multinomial logit model; Childhood co morbidity; Conditional autoregressive models; Malawi; Multicategorical response data; Spatial modelling

Indexed keywords

RETINOL;

AGE DISTRIBUTION; ARTICLE; BAYES THEOREM; BED NET; CHILD HEALTH; CHILDHOOD DISEASE; COMORBIDITY; CONTROLLED STUDY; DEMOGRAPHY; DIARRHEA; DISEASE CONTROL; FEMALE; FEVER; GEOGRAPHY; HEALTH SURVEY; HIGH RISK POPULATION; HOME CARE; HUMAN; INFANT; INFERENTIAL STATISTICS; MAJOR CLINICAL STUDY; MALAWI; MALE; MALNUTRITION; MONTE CARLO METHOD; NEWBORN; OUTCOME ASSESSMENT; PNEUMONIA; PRESCHOOL CHILD; PROBABILITY; RISK FACTOR; SELF REPORT;

BAYES THEOREM; BEDDING AND LINENS; BODY WEIGHT; CHILD, PRESCHOOL; COMORBIDITY; CROWDING; DEMOGRAPHY; DEVELOPING COUNTRIES; DIARRHEA; FEVER; HEALTH SURVEYS; HUMANS; INFANT; INFANT, NEWBORN; MALAWI; PNEUMONIA; REGRESSION ANALYSIS; RESIDENCE CHARACTERISTICS; RISK ASSESSMENT; RISK FACTORS; VITAMIN A;

EID: 34547660702     PISSN: 03932990     EISSN: 15737284     Source Type: Journal    
DOI: 10.1007/s10654-007-9145-y     Document Type: Article

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