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Applying econometric methods to examine heterogeneity in the impact of lung cancer screening

Principal Investigator
Name
Amanda Kowalski
Degrees
Ph.D.
Institution
National Bureau of Economic Research
Position Title
Research Associate
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-536
Initial CDAS Request Approval
Jul 9, 2019
Title
Applying econometric methods to examine heterogeneity in the impact of lung cancer screening
Summary
I propose to use the NLST trial data to examine heterogeneity in the impact of lung cancer screening. To do so, I will apply econometric methods that I am working to advance. I have already applied such methods to data from the Canadian National Breast Screening Study, the Oregon Health Insurance Experiment, and the PROWESS trial. (See https://sites.lsa.umich.edu/amanda-kowalski/publications/) In each of these contexts, I have uncovered meaningful heterogeneity.
Aims

o Apply econometric methods to examine treatment effect heterogeneity

Collaborators

I am the PI of this project. I will also involve research assistants who will work with the data, and they are also named on this form. When new research assistants join my team, I will submit their information if I am required to do so. Mohan Ramanujan, who is a Unix Systems Administrator at the NBER, has been named as an approved user later on this form.