Grantee Research Project Results
Analysis of Nondifferential Exposure Misclassification in Ecological Epidemiology Using a General Error Model
EPA Grant Number: U914942Title: Analysis of Nondifferential Exposure Misclassification in Ecological Epidemiology Using a General Error Model
Investigators: Webster, Thomas F.
Institution: Boston University
EPA Project Officer: Hahn, Intaek
Project Period: January 1, 1996 through January 1, 1999
Project Amount: $102,000
RFA: STAR Graduate Fellowships (1996) RFA Text | Recipients Lists
Research Category: Fellowship - Probability/Statistics , Environmental Statistics , Academic Fellowships
Objective:
The objective of this research project is to develop statistical methods in environmental epidemiology.
Approach:
I analyzed the effects of nondifferential exposure misclassification in linear ecological regression using a general error model (Wacholder, Epidemiology 1995;6:157-161). The results of Brenner, et al. (NDEM of binary exposure) follow naturally from this perspective. Other important cases of the general error model arise as well. Use of the average exposure within a group is a form of Berkson error, causing no bias when other sources of ecological bias are absent. When external group measures of exposure are employed, (e.g., concentrations of pollutants in air or water), we can examine the difference between this group measure and the average exposure. The well-known classical error model (bias toward the null) arises when the difference and the average exposure are uncorrelated. In sum, the type of bias associated with ecological studies depends on the error structure.
Supplemental Keywords:
fellowship, statistical methods, environmental epidemiology, general error model, linear ecological regression, exposure, ecological bias, classical error model., RFA, Scientific Discipline, Economic, Social, & Behavioral Science Research Program, Environmental Statistics, Epidemiology, Applied Math & Statistics, linear ecological regression, ecological epidemiology, data analysis, nondifferential exposure missclasification, statistical models, general error model, regression analysisProgress and Final Reports:
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.