Development and validation of an infant morbidity index using latent variable models

Statistics in Medicine

Volumn 27, Issue 7, 2008, Pages 971-989

  Liu, Xuefeng ^a   Roth, Jeffrey ^b  

^a WAYNE STATE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

Author keywords

Infant morbidity index; Infant morbidity outcomes; Latent variable models; Modified Gauss Newton algorithms; Validation

Indexed keywords

ALGORITHM; ARTICLE; BIRTH DEFECT; DEVELOPMENTAL DISORDER; DISABILITY; HUMAN; INFANT; INFANT MORBIDITY; INFANT MORTALITY; LATENT VARIABLE MODEL; LOW BIRTH WEIGHT; MORBIDITY; NEWBORN DISEASE; NONLINEAR SYSTEM; OUTCOME ASSESSMENT; PROBABILITY; REGRESSION ANALYSIS; RISK FACTOR; STATISTICAL MODEL; VALIDATION PROCESS; VALIDITY;

ALGORITHMS; CONGENITAL ABNORMALITIES; DEVELOPMENTAL DISABILITIES; FLORIDA; HUMANS; INFANT, LOW BIRTH WEIGHT; INFANT, NEWBORN; MODELS, STATISTICAL; MORBIDITY; REPRODUCIBILITY OF RESULTS; RISK FACTORS;

EID: 40849098608     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2951     Document Type: Article

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