A distribution-based multiple imputation method for handling bivariate pesticide data with values below the limit of detection

Environmental Health Perspectives

Volumn 119, Issue 3, 2011, Pages 351-356

  Chen, Haiying ^a   Quandt, Sara A ^a   Grzywacz, Joseph G ^a   Arcury, Thomas A ^a  

^a WAKE FOREST SCHOOL OF MEDICINE   (United States)

Author keywords

Left censoring; Limit of detection; Longitudinal study; Maximum likelihood; Multiple imputation; Nondetect; Repeated measures

Indexed keywords

ACEPHATE; PESTICIDE;

ARTICLE; BIOINFORMATICS; BIVARIATE ANALYSIS; CONTROLLED STUDY; EXPOSURE; INTOXICATION; LIMIT OF DETECTION; LONGITUDINAL STUDY; MATHEMATICAL MODEL; PRIORITY JOURNAL; SELF REPORT; SIMULATION; URINE LEVEL; VALIDITY;

AGRICULTURE; ANALYSIS OF VARIANCE; CHEMISTRY TECHNIQUES, ANALYTICAL; ENVIRONMENTAL POLLUTANTS; ENVIRONMENTAL POLLUTION; HUMANS; LIMIT OF DETECTION; LONGITUDINAL STUDIES; OCCUPATIONAL EXPOSURE; PESTICIDES;

EID: 79952321562     PISSN: 00916765     EISSN: 15529924     Source Type: Journal    
DOI: 10.1289/ehp.1002124     Document Type: Article

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