Multivariate left-censored Bayesian modeling for predicting exposure using multiple chemical predictors-Reference-Cited by-同舟云学术

Multivariate left-censored Bayesian modeling for predicting exposure using multiple chemical predictors

Author:

Groth Caroline P.¹,Banerjee Sudipto²,Ramachandran Gurumurthy³,Stenzel Mark R.⁴,Stewart Patricia A.⁵

Affiliation:

1. Department of Preventive Medicine; Feinberg School of Medicine, Northwestern University; Chicago IL 60611 U.S.A.

2. Department of Biostatistics; University of California, Los Angeles; Los Angeles CA 90095 U.S.A.

3. Department of Environmental Health and Engineering; Bloomberg School of Public Health, Johns Hopkins University; Baltimore MD 21205 U.S.A.

4. Exposure Assessments Applications; LLC; Arlington VA 22207 U.S.A.

5. Stewart Exposure Assessments; LLC; Arlington VA 22207 U.S.A.

Funder

Intramural Research Program of the NIH

National Institute of Environmental Health Sciences

NIH Common Fund

CDC/NIOSH

National Institute for Occupational Safety and Health

NSF/DMS

NSF/IIS

NIH/NIEHS

Publisher

Wiley

Subject

Ecological Modelling,Statistics and Probability

Reference18 articles.

3. An accurate substitution method for analyzing censored data;Ganser;Journal of Occupational and Environmental Hygiene,2010

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