Missing or mismeasured regression variables are frequently encountered in the analysis of cancer research data. This problem is a major issue in dietary research, for example. The broad goal of this research is to develop statistical methods for data analysis in the presence of missing or mismeasured regression variables, and to apply these methods to epidemiologic and clinical studies. Specific areas of research include the following: 1) development of a nonparametric regression calibration method for Cox regression when validation data are available; 2) development of methods for Cox regression with reliability data; 3) development of methods for logistic regression analysis using conditional exposure mean for missing or mismeasured exposures; and 4) development of methods for characterizing associations between multiple variables. Asymptotic theory will be developed and simulation studies will be conducted. The methods will be applied to data from the Women's Health Initiative, a large disease prevention trial and observational study involving 164,500 women with the objective of evaluating the benefits and risks of dietary modification, hormone replacement therapy and supplementation with calcium and vitamin D on the overall health of postmenopausal women. The investigator states that the proposed methods will also accommodate two-stage designs which are becoming popular in epidemiologic research and particular in genetic epidemiology.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
First Independent Research Support & Transition (FIRST) Awards (R29)
Project #
5R29AG015026-04
Application #
6328635
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Program Officer
Sherman, Sherry
Project Start
1997-12-15
Project End
2002-11-30
Budget Start
2000-12-01
Budget End
2001-11-30
Support Year
4
Fiscal Year
2001
Total Cost
$117,377
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
075524595
City
Seattle
State
WA
Country
United States
Zip Code
98109