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

Virtual

Mar 29, 2023 10:00 AM - Mar 31, 2023 4:15 PM

(US Eastern Standard Time)

DIA/FDA Biostatistics Industry and Regulator Forum

Join us virtually from the comfort of your home/office March 29-31 or watch later at a time that works for you. This event provides access to the materials for a full two months!

Session 10: The Estimand Framework in the Context of Benefit-Risk Assessments

Session Chair(s)

Guoxing  Soon, PhD

Guoxing Soon, PhD

Lead Mathematical Statistician

FDA, United States

Lisa  Wruck, PhD

Lisa Wruck, PhD

Associate Professor of Biostatistics and Bioinformatics

Duke School of Medicine, United States

The ICH E9 (R1) Estimand Framework Guidance set the stage for constructing estimands corresponding to the clinical question of interest to be addressed by a clinical trial. Often, especially in the regulatory setting for pharmaceutical development, estimands that incorporate the totality of the patient experience are of interest. For example, a benefit-risk assessment may be required to show that the treatment's benefit outweighs the expected associated risk. Therefore, it is vital to integrate this type of assessment into the clinical question and the corresponding estimand choice. The estimand framework is particularly useful for selection of outcomes and analytic methods that reflect the benefit-risk tradeoff, as well as interpretation of intercurrent events that impact the patient experience and specification of sensitivity analyses to assess robustness of trial conclusions. In this session, leading experts in the field will discuss the estimand framework in the context of benefit-risk assessments, with illustrative examples and methodological considerations.

Learning Objective :
  • Identify the components of the estimand framework in the context of benefit-risk assessments
  • Describe strengths of the estimand framework for jointly assessing efficacy and safety of a treatment and accounting for intercurrent events that also impact the patient experience
  • Identify challenges in assessing impact of a treatment on the total patient experience and describe methods to address these challenges

Speaker(s)

Gregory  Levin, PhD

Speaker

Gregory Levin, PhD

FDA, United States

Associate Director for Statistical Science and Policy, OB, OTS, CDER

Frank  Bretz, PhD

Speaker

Frank Bretz, PhD

Novartis , Switzerland

Distinguished Quantitative Research Scientist

Scott  Evans, PhD, MS

Speaker

Scott Evans, PhD, MS

George Washington University Milken Institute of Public Health, United States

Professor and Founding Chair, Department of Biostatistics and Bioinformatics

Stephen  Ruberg, PhD, MS

Speaker

Stephen Ruberg, PhD, MS

Analytix Thinking, United States

President; Adjunct Professor of Statistics, Purdue University

Lei  Nie, PhD

Speaker

Lei Nie, PhD

FDA, United States

Director, Division of Biometrics IV, Office of Biostatistics, OTS, CDER

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.