Epidemiologically based environmental risk assessment
type: Item
instance of: scholarly article
title: Epidemiologically based environmental risk assessment
zbMATH Open document ID: 1055.62134
published in: Statistical Science
publication date: 2005-02-24T00:00:00Z
Mathematics Subject Classification ID: 62P12
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 2138328
zbMATH Keywords: quantitative risk assessment
zbMATH Keywords: arsenic
zbMATH Keywords: carcinogenicity
zbMATH Keywords: dose response
author: Louise M. Ryan
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/ss/1081443230
OpenAlex ID: W2002639370
cites work: Q4098619
cites work: Logistic regression for two-stage case-control data
cites work: Q4363948
cites work: A meta-analysis of case-control and cohort studies with interval-censored exposure data: application to chorionic villus sampling
cites work: Q4888734
cites work: Models for Papilloma Multiplicity and Regression: Applications to Transgenic Mouse Studies
cites work: Bayesian Models for Multivariate Current Status Data with Informative Censoring
cites work: From mouse-to-man: The quantitative assessment of cancer risks. With comments and a rejoinder by the authors
cites work: Physiological Pharmacokinetic Analysis Using Population Modeling and Informative Prior Distributions
cites work: Q4792002
cites work: Covariance Analysis of Censored Survival Data Using Log-Linear Analysis Techniques
cites work: Age-Adjusted Exact Trend Tests in the Event of Rare Occurrences
cites work: Two-event models for carcinogenesis: Incidence curves for childhood and adult tumors
cites work: Q4246483
cites work: Aggregate data studies of disease risk factors
cites work: A mean score method for missing and auxiliary covariate data in regression models
cites work: On the use of biomarkers for environmental health research
cites work: Flexible Maximum Likelihood Methods for Assessing Joint Effects in Case- Control Studies with Complex Sampling
cites work: Sensitivity Analyses for Ecological Regression
cites work: Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler
DOI: 10.1214/SS/1081443230
description: scientific article; zbMATH DE number 2138328