Instrumental variable method
Principal Investigator
Name
Jung In Kim
Degrees
Ph.D (in process)
Institution
UNC-CH
Position Title
Student
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-213
Initial CDAS Request Approval
Jun 3, 2016
Title
Instrumental variable method
Summary
To explore the relationship between the effects of covariates and the failure times, the Cox proportional hazards model is commonly applied. However, when some patients do not adhere to their assigned treatments in a randomized trial, the standard intention-to-treat (ITT) analysis, which focuses on the causal effect of assignment of treatment rather than the causal effect of receipt of treatment, may not properly estimate the effect of a treatment on the outcome. The use of instrumental variable (IV) methods helps us to consistently estimate the average causal effect of an exposure on some outcome of interest. Thus, we will extend one of IV methods into the Cox model for analyzing time-to-event data.
Aims
The goal of the study is to assess whether the following screening exams reduce mortality from prostate, and ovarian cancers.
1. comparison PSA vs DRE (prostate cancer)
2. comparison CA-125 vs TVU (ovarian cancer)
3. the effect of chest x-ray (XRY) (lung cancer)
Collaborators
Jason Fine (UNC-CH)