Biostatistics Seminar Series, November 9, 2022

The Fred Hutch Biostatistics Program hosts seminars featuring presentations by Fred Hutch and outside scientists to share their latest developments and recent research. Each seminar includes an hour-long presentation and discussion during which speakers showcase their work and findings. 

This seminar will be via Zoom.

Bo Zhang, Ph.D.


Bo Zhang, Ph.D.

“Statistical matching methodologies in empirical comparative effectiveness research”

Subclassification and matching are often used tools in empirical studies to adjust for observed covariates and investigate the evidence of cause and effect.  In the first part of the talk, I will describe an algorithm designed for matched cohort studies with a continuous or many-level exposure.  The proposed design is used to study the effect of transesophageal echocardiography (TEE) monitoring during coronary artery bypass graft (CABG) surgery on patients' post-surgery clinical outcomes using Medicare and Medicaid claims data. In the second part of the talk, I will describe a simple algorithm that can be used to construct matched pairs from an administrative database that mimics a template from a target population. The method is motivated by many recent efforts concerning ``trial emulation," see, e.g., the RCT DUPLICATE project. The proposed method is useful when empirical researchers want to generalize evidence to a population of scientific interest and helps reconcile results from different studies.

Wednesday, November 09, 2022
Start Time:
12 p.m. PST
Host or Sponsor:
Speaker or Presenter:
Bo Zhang, Ph.D.
Contact Information:
Last Modified, October 31, 2022