Already a DIA Member? Sign in. Not a member? Join.

Sign in

Forgot User ID? or Forgot Password?

Not a Member?

Create Account and Join

Sheraton Philadelphia Downtown Hotel

Oct 24, 2024 7:30 AM - Oct 25, 2024 4:10 PM

201 North 17th Street, Philadelphia, PA 19103

Real-World Evidence Conference

Translating Insights into Real-World Value

Session 7: Methodological Insights on Aspects of Non-Interventional Studies

Session Chair(s)

John  Concato, MD, MPH, MS

John Concato, MD, MPH, MS

Associate Director for Real-World Evidence Analytics, OMP, CDER

FDA, United States

This session will highlight specific methodological issues relevant to using real-world data to generate real-world evidence. The first presentation will discuss the history and evolving landscape of causal methods including propensity scores, g-computation, and methods based on machine learning. The second presentation will discuss the test-negative design derived from the case-control study design. The third presentation will discuss negative control outcome studies designed to assess comparability of potential treatments groups. The third presentation will discuss a structured framework for sensitivity analyses to assess unmeasured confounding. A panel discussion will follow.

Learning Objective : At the conclusion of this session, participants should be able to:
  • Summarize basic concepts, applications, and methods of causal methods
  • Describe advantages and pitfalls of studies using negative control outcomes
  • Identify major methodological challenges when planning or evaluating a test-negative study design

Speaker(s)

Delphine  Saragoussi, MD, MSc

Strengths and Challenges of Test-Negative Designs to Assess Post-Marketing Vaccine Effectiveness

Delphine Saragoussi, MD, MSc

PPD, part of Thermo Fisher Scientific, France

Executive Director, Epidemiology and Scientific Affairs

David  Pritchard, PhD

Using Negative Outcome Control Studies to Assess Study Validity in the Real-World

David Pritchard, PhD

Target RWE, United States

Director, Data Management & Statistics

Andrew  Wilson, PhD, MS

Traditions and Frontiers in Causal Methods - From the Rise and Fall of Propensity Scores to Causal AI for RWE

Andrew Wilson, PhD, MS

Parexel, United States

Head of Innovative RWD Analytics

Have an account?

Be informed and stay engaged.

Don't miss an opportunity - join our mailing list to stay up to date on DIA insights and events.