A bayesian latent variable mixture model for longitudinal fetal growth

Biometrics

Volumn 65, Issue 4, 2009, Pages 1233-1242

  Slaughter, James C ^a   Herring, Amy H ^b   Thorp, John M ^c  

^a VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b IL   (United States)

^c UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

Bayesian methods; Birth weight; Correlated data; Intrauterine growth restriction; Latent variables; Preterm birth; Small for gestational age

Indexed keywords

BAYESIAN NETWORKS; HEMODYNAMICS; OBSTETRICS;

BAYESIAN METHODS; BIRTH WEIGHT; BLOOD FLOW; CORRELATED DATA; GESTATIONAL AGE; INTRAUTERINE GROWTH RESTRICTION; LATENT CLASS; LATENT VARIABLE; PRETERM BIRTH; SMALL FOR GESTATIONAL AGE;

BLOOD;

BAYESIAN ANALYSIS; BLOOD; BODY MASS; COVARIANCE ANALYSIS; GROWTH MODELING; INFANT MORTALITY; MORBIDITY; PREGNANCY;

ARTICLE; BAYES THEOREM; BLOOD FLOW; BODY MASS; FETUS CIRCULATION; FETUS GROWTH; GESTATIONAL AGE; HEIGHT; HUMAN; INTRAUTERINE GROWTH RETARDATION; ISCHEMIA; LONGITUDINAL STUDY; LOW BIRTH WEIGHT; PARITY; PREGNANCY OUTCOME; PRENATAL GROWTH; RACE; SEX DETERMINATION; STRUCTURAL EQUATION MODELING;

EID: 70450278713     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01188.x     Document Type: Article

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