In many clinical and epidemiological studies one of the objectives is to evaluate changes in the response variable over time. In such studies subjects are followed, and their responses are measured at several time points during the study period. It is common in these studies to lose subjects due to death, withdrawal and loss to follow-up. Further attrition may be related to the response, causing the data to be informatively censored. For example, withdrawals may occur at greater frequency among those who do not respond to the treatment than those who do. Informative right censoring poses a challenge to statisticians since many of the popularly used statistical methods assume that the attrition probability is independent of the response variable. The proposed project will focus on the analysis of longitudinal data when the censoring process is considered informative and will develop statistical methods for both continuous and discrete longitudinal data. Application to cancer studies will be emphasized, and the developed methods will be illustrated using actual data from clinical and epidemiological studies of cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
First Independent Research Support & Transition (FIRST) Awards (R29)
Project #
5R29CA066625-03
Application #
2414371
Study Section
Special Emphasis Panel (ZRG7-SSS-1 (15))
Program Officer
Erickson, Burdette (BUD) W
Project Start
1995-05-01
Project End
2000-04-30
Budget Start
1997-05-01
Budget End
1998-04-30
Support Year
3
Fiscal Year
1997
Total Cost
Indirect Cost
Name
University of Utah
Department
Family Medicine
Type
Schools of Medicine
DUNS #
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112