This research will be done primarily in Beijing China at Peking University in collaboration with Junni Zhang, Ph.D. as an extension of NIH grant # R01 HL62567. In the parent grant, we propose to develop a general statistical methodology for causal treatment analysis of the randomized encouragement design studies or randomized clinical trials with non-compliance. One additional issue in clinical trials with non-compliance we have not considered in the parent grant is 'truncation by death"""""""". Traditional approaches addressing this issue ignore the fact that the outcome after the truncation is neither """"""""censored"""""""" nor """"""""missing"""""""", but should be treated as being defined on an extended sample space. In this extension of the parent grant, we will discuss a new formulation for tackling this issue, where we call the outcome """"""""truncated by death"""""""" because there is no hidden value of the outcome variable masked by the truncating event. We will further extend the framework to observational studies with possibly missing- data. ? ? ?

Agency
National Institute of Health (NIH)
Institute
Fogarty International Center (FIC)
Type
Small Research Grants (R03)
Project #
1R03TW007197-01A2
Application #
7126267
Study Section
Special Emphasis Panel (ZRG1-ICP-3 (51))
Program Officer
Michels, Kathleen M
Project Start
2006-12-01
Project End
2009-11-30
Budget Start
2006-12-01
Budget End
2007-11-30
Support Year
1
Fiscal Year
2007
Total Cost
$37,341
Indirect Cost
Name
University of Washington
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195