Statistical Methods for Non-Cancer Risk Assessment

EPA Grant Number: R824757
Title: Statistical Methods for Non-Cancer Risk Assessment
Investigators: Ryan, Louise
Institution: Harvard T.H. Chan School of Public Health
EPA Project Officer: Manty, Dale
Project Period: October 1, 1995 through September 30, 1998
Project Amount: $410,892
RFA: Human Health Risk Assessment (1995) RFA Text |  Recipients Lists
Research Category: Health Effects , Human Health , Human Health Risk Assessment , Health

Description:

This is a proposal to address a series of statistical problems in non-cancer risk assessment., with particular emphasis on reproduction and development. Proposed topics range from optimal experimental design for the Segment II developmental toxicology experiment to Bayesian methods for Benchmark Dose calculation. Some of the proposed problems to be addressed have been motivated by an ongoing interdisciplinary research effort to study the dose-rate effects of ethylene oxide on developmental toxicity. Specific research objectives include: 1) optimal experimental design for the conduct of dose-response studies and calculation of Benchmark Doses; 2) optimal sequential design procedures to identify LD50's, ED05's and other quantiles for dose-rate studies (i.e., studies designed to assess the effects of duration as well as the concentration of exposure on adverse health effects); 3) incorporation of biomarkers and biologically-based dose measures into dose-response models and subsequent Benchmark Dose calculations; 4) non-parametric calculation of Benchmark Doses based on continuous outcomes, such as fetal weight, serum levels, and so on; 5) incorporation of historical control information into the analysis of multiple outcome data from developmental toxicity studies; and 6) use of meta-analysis techniques to estimate Benchmark Doses for developmental toxicology.

These research problems will be addressed with a combination of theoretical approaches and empirical data analysis using several existing data bases of developmental toxicity.

Publications and Presentations:

Publications have been submitted on this project: View all 16 publications for this project

Journal Articles:

Journal Articles have been submitted on this project: View all 15 journal articles for this project

Supplemental Keywords:

RFA, Economic, Social, & Behavioral Science Research Program, Health, Risk Assessments, Environmental Statistics, benchmark dose method, data synthesis, hierarchical Bayesian space-time models, infertility risk, risk assessment, biomarkers, Bayesian space-time model, toxicology, non-cancer risk assessment, computer models, environmental risks, dose-response, developmental toxicology, environmental mutagens, human exposure, statistical models, toxic environmental contaminants, Ethylene oxide, data analysis, sampling, reproductive health, data models, innovative statistical models, meta-analysis

Progress and Final Reports:

Final Report