NDLI: Modeling exposure-biomarker relationships: Applications of linear and nonlinear toxicokinetics

Content Provider	Springer Nature Link
Author	Johnson, Brent A. Kupper, Lawrence L. Taylor, Douglas J. Rappaport, Stephen M.
Copyright Year	2005
Abstract	Establishing and characterizing exposure-biomarker relationships represent important steps to understanding how exposure to a harmful environmental toxin ultimately leads to disease in human populations. Here, we present a statistical model to characterize a nonlinear exposure-biomarker relationship and use occupational benzene exposures to illustrate the application. We also attempt to estimate the range of linear metabolism of benzene by fitting our model to data from a recent study of biomarkers (benzene-oxide-albumin adducts) measured in a population of Chinese workers exposed to benzene. Estimating the parameters of interest is difficult due to within and between subject variability in exposure and biomarker levels and because of exposure measurement error.
Starting Page	440
Ending Page	459
Page Count	20
File Format	PDF
ISSN	10857117
Journal	Journal of Agricultural, Biological, and Environmental Statistics
Volume Number	10
Issue Number	4
e-ISSN	15372693
Language	English
Publisher	Springer-Verlag
Publisher Date	2005-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Benzene Carcinogenesis Heteroscedasticity Measurement error Metabolism Nonlinear mixed models Structural models Statistics for Life Sciences, Medicine, Health Sciences Agriculture Environmental Monitoring/Analysis Biostatistics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Modeling exposure-biomarker relationships: Applications of linear and nonlinear toxicokinetics

Statistical models for exposure-biomarker relationships with measurement error and censoring

Statistical models for exposure-biomarker relationships with measurement error and censoring

Analyzing highly variable potency data using a linear mixed-effects measurement error model

Local linear mixed effect models—Model specification and interpretation in a biological context

Robust Joint Non-linear Mixed-Effects Models and Diagnostics for Censored HIV Viral Loads with CD4 Measurement Error

Randomly Truncated Nonlinear Mixed-Effects Models

Using small area models to estimate the total area occupied by olive trees

Nonlinear models for repeated measurement data: An overview and update

Modeling exposure-biomarker relationships: Applications of linear and nonlinear toxicokinetics

Similar Documents

Modeling exposure-biomarker relationships: Applications of linear and nonlinear toxicokinetics

Statistical models for exposure-biomarker relationships with measurement error and censoring

Statistical models for exposure-biomarker relationships with measurement error and censoring

Analyzing highly variable potency data using a linear mixed-effects measurement error model

Local linear mixed effect models—Model specification and interpretation in a biological context

Robust Joint Non-linear Mixed-Effects Models and Diagnostics for Censored HIV Viral Loads with CD4 Measurement Error

Randomly Truncated Nonlinear Mixed-Effects Models

Using small area models to estimate the total area occupied by olive trees

Nonlinear models for repeated measurement data: An overview and update

Modeling exposure-biomarker relationships: Applications of linear and nonlinear toxicokinetics