What can go wrong when you assume that correlated data are independent: An illustration from the evaluation of a childhood health intervention in Brazil

Statistics in Medicine

Volumn 20, Issue 9-10, 2001, Pages 1461-1467

  Cannon, Michael J ^a,c   Warner, Lee ^a   Taddei, J Augusto ^b   Kleinbaum, David G ^a  

^a EMORY UNIVERSITY   (United States)

^b FEDERAL UNIVERSITY OF SÃO PAULO   (Brazil)

^c CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BRAZIL; CHILD; CHILD HEALTH; CHILD HEALTH CARE; CHILD NUTRITION; CONTROLLED STUDY; CORRELATION FUNCTION; DATA ANALYSIS; DAY CARE; DIARRHEA; FOLLOW UP; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALNUTRITION; MEDICINE; NUTRITIONAL STATUS; OBSERVATION; PARAMETER; PUBLIC HEALTH; REGRESSION ANALYSIS; RESPIRATORY TRACT INFECTION; RISK; SKIN INFECTION; VARIANCE; WASTING SYNDROME;

AGE FACTORS; BRAZIL; CHILD DAY CARE CENTERS; CHILD, PRESCHOOL; HUMANS; INFANT; LOGISTIC MODELS; LONGITUDINAL STUDIES; MODELS, BIOLOGICAL; NUTRITION ASSESSMENT; ODDS RATIO; OUTCOME ASSESSMENT (HEALTH CARE); TIME FACTORS; WASTING SYNDROME;

EID: 0035873793     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.682     Document Type: Article

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