Methodology Core

The Methodology Core provides the contemporary data science infrastructure necessary for studies that leverage electronic medical records (EMR) and for clinical trials that collect patient reported outcomes. Activities are centered around the following themes:

  • Rigorous and novel study designs
  • Secondary use of EMR data for research
  • Primary data collection and pragmatic clinical trial conduct

Examples of the services offered by the Methodology Core include:

  • Refining research protocols and making necessary adjustments
  • Designing forms for easy data entry and manipulation
  • Supervising creation of project databases
  • Ongoing monitoring of the accumulating data from all component projects for data quality
  • Assisting with analytic plans and statistical analyses of results from each component
Methodology Core Leadership and Staff:
Director – Patrick J. Heagerty, PhD
Associate Director – Sean Mooney, PhD
Imaging Expert – David Haynor, MD
Deep Learning Expert – Gang Luo, PhD
Biostatistician – Eric Meier, MS
Data Visualization – Nancy Organ, BS

CLEAR Center Methods Webinars

The UW CLEAR Center has launched a series of research statistical methods webinars. The webinar series focuses on key statistical topics that research investigators, journal editors, clinicians, and others encounter on a day-to-day basis as they develop and run research studies, review research manuscripts, and stay up-to-date on the latest research in their field. View archived webinars and see what topics are coming up below.

Methods for Dealing with Confounding in Observational Studies: Propensity Score Matching

Date: February 1, 2019

Time: 11am-12pm Pacific Time (US)

View recorded webcast. 

View presentation slides. 

Methods for Dealing with Confounding in Observational Studies: Instrumental Variables

Date: April 26, 2019

Time: 2-3pm Pacific (US)

Register for this webinar.