A Partial Linear Model in the Outcome-Dependent Sampling Setting to Evaluate the Effect of Prenatal PCB Exposure on Cognitive Function in Children

Biometrics

Volumn 67, Issue 3, 2011, Pages 876-885

  Zhou, Haibo ^a   Qin, Guoyou ^a,b,c   Longnecker, Matthew P ^d  

^a University of North Carolina at Chapel Hill   (United States)

^b FUDAN UNIVERSITY   (China)

^c BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^d NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

Author keywords

Cost effective designs; Empirical likelihood; Outcome dependent sampling; P spline; Partial linear model; Polychlorinated biphenyls

Indexed keywords

BRAIN; COMPUTATION THEORY; COST EFFECTIVENESS; MAXIMUM LIKELIHOOD; ORGANIC POLLUTANTS; SAMPLING;

COGNITIVE FUNCTIONS; COST EFFECTIVE; COST EFFECTIVE DESIGN; EMPIRICAL LIKELIHOOD; INFERENCE TOOLS; LINEAR MODELING; OUTCOME-DEPENDENT SAMPLING; P-SPLINES; PARTIAL LINEAR MODELS; SAMPLING DESIGN;

POLYCHLORINATED BIPHENYLS;

BIOMETRY; CHILD HEALTH; COGNITION; COST-BENEFIT ANALYSIS; DATA SET; EMPIRICAL ANALYSIS; EPIDEMIOLOGY; NUMERICAL MODEL; PARAMETERIZATION; POLLUTION EXPOSURE; POLYMERASE CHAIN REACTION; SAMPLING;

EID: 80052816138     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2010.01500.x     Document Type: Article

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