A Distribution-Based Multiple Imputation Method for Handling Bivariate Pesticide Data with Values below the Limit of Detection-Reference-Cited by-同舟云学术

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A Distribution-Based Multiple Imputation Method for Handling Bivariate Pesticide Data with Values below the Limit of Detection

Published:2011-03 Issue:3 Volume:119 Page:351-356
ISSN:0091-6765
Container-title:Environmental Health Perspectives
language:en
Short-container-title:Environmental Health Perspectives

Author:

Chen Haiying¹,Quandt Sara A.²,Grzywacz Joseph G.³,Arcury Thomas A.³

Affiliation:

1. Department of Biostatistical Sciences and

2. Department of Epidemiology and Prevention, Division of Public Health Sciences and

3. Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA

Publisher

Environmental Health Perspectives

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference29 articles.

1. Variation across the agricultural season in organophosphorus pesticide urinary metabolite levels for Latino farmworkers in eastern North Carolina: Project design and descriptive results

2. Handling of dioxin measurement data in the presence of non-detectable values: Overview of available methods and their application in the Seveso chloracne study

3. A Survey of Laboratory and Statistical Issues Related to Farmworker Exposure Studies

4. Bootstrap Methods: Another Look at the Jackknife

5. Organophosphate Pesticide Exposure and Neurodevelopment in Young Mexican-American Children

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3. Placental transcriptome variation associated with season, location, and urinary prenatal pyrethroid metabolites of Thai farm-working women;Environmental Pollution;2024-05

4. Profiling of serum metabolome of breast cancer: multi-cancer features discriminate between healthy women and patients with breast cancer;Frontiers in Oncology;2024-04-04

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