When:
Monday, November 30, 2020
4:00 PM - 5:00 PM CT
Where: Online
Audience: Faculty/Staff - Student - Public - Post Docs/Docs - Graduate Students
Contact:
Lucia Ontiveros
Group: Department of Preventive Medicine- Division of Biostatistics
Category: Lectures & Meetings
Seungbong Han, PhD
Associate Professor, Department of Applied Statistics, Gachon University
Presentation Title:
Propensity score matching with missing causes of failure: a Monte Carlo study
Abstract:
Propensity score (PS) matching is widely used to estimate the effects of a treatment in observational studies. Competing risk survival data are common in medical research. There is a paucity of PS matching studies related to competing risk survival data
with missing causes. In this study, we provide guidelines for estimating the treatment effect on the cumulative incidence function when using PS matching on the competing risk survival data with missing causes. We examined the performances of different methods for
imputing the data of missing causes. We evaluated the gain of the missing cause imputation in an extensive simulation study and analyzed the data from a study on hepatocellular carcinoma (HCC) in patients with chronic hepatitis B and chronic hepatitis C.
For Zoom link please contact Lucia Ontiveros: lucia.ontiveros@northwestern.edu