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Monday, June 27 • 8:30am - 9:45am
#118: The Interpretation of PRO Scores and Responder Analyses in the Presence of Missing Data

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Limited Capacity seats available

Component Type: Forum
Level: Intermediate
CE: CME 1.25; IACET 1.25; RN 1.25

This forum will review best practices for quantifying a meaningful change in a patient-reported outcome (PRO) endpoint and establishing a responder definition in the presence of missing score data. Missing data strategies that do not assume absence of a PRO score means “non-responder.”

Learning Objectives

Recognize problems in responder analyses if subjects discontinue study treatment or withdraw from a trial; Compare approaches published by EMA, NAS, and in the ICH E9(R1): Addendum to Statistical Principles for Clinical Trials on Choosing Appropriate Estimands and Defining Sensitivity Analyses in Clinical Trials; Recognize how to combine multiple missing data approaches to tell the data story.


Scott Komo, DrPH


Yeh-Fong Chen, PhD

Lisa A Kammerman, PhD, MS


Scott Komo

Mathematical Statistician, Office of Translational Sciences, CDER, FDA
Scott Komo is a Senior Statistical Reviewer in the Office of Biostatistics, Center for Drug Evaluation and Research, FDA. He is involved with the design, analysis, and interpretation of studies that use clinical outcome assessments. He has supported multiple medical areas since joining the FDA in 1999. He received a BA in Chemistry from the University of California, Davis and an MS and DrPH in Biostatistics from the University of California... Read More →

avatar for Yeh-Fong Chen

Yeh-Fong Chen

Mathematical Statistician, Office of Translational Sciences, CDER, FDA
Dr. Yeh-Fong Chen is the statistical team leader supporting the Division of Gastroenterology and Inborn Errors Products at the Division of Biometrics III at US Food and Drug Association. She joined FDA in 2000 immediately after graduation with a PhD degree in Statistics from the University of Iowa. She has had years' experience in reviewing drug applications for psychiatry products and has performed reviews for drug products in the cardiovascular... Read More →

Lisa Kammerman

Senior Statistical Science Director, AstraZeneca
Lisa Kammerman, PhD is a Senior Statistical Science Director in the Advanced Analytics Center at AstraZeneca. She consults on complex study designs and statistical innovation projects, and led AZ's missing data project. After 24 years of public service, she retired from the FDA, where she led the Office of Biostatistics’ Clinical Outcome Assessments program. In that role, she helped develop policy for the design, analysis, and interpretation of... Read More →

Monday June 27, 2016 8:30am - 9:45am
201A Pennsylvania Convention Center 1101 Arch Street, Philadelphia, PA 19107 USA