STATISTICS COLLOQUIUM
Joseph C. Cappelleri, PhD, MPH, MS
Pfizer Inc.
Advancing Interpretation of Patient-Reported Outcomes
Abstract
A patient-reported outcome is any report on the status of a patient’s health condition that comes directly from the patient. Clear and meaningful interpretation of patient-reported outcome scores are fundamental to their use as they can be valuable in designing studies, evaluating interventions, educating consumers, and informing health policy makers involved with regulatory, reimbursement, and advisory agencies. Interpretation of patient-reported outcome scores, however, is often not well understood because of insufficient data or lack of experience or clinical understanding to draw from.
This presentation provides an update review on two broad approaches – anchor-based and distributed-based – aimed at enriching the understanding and meaning of patient-reported outcome scores. Anchor-based approaches use a measure (external to the targeted patient-reported outcome of interest) that is well interpretable and correlated with the targeted patient-reported outcome. Examples include percentages based on thresholds, criterion-group interpretation, content-based interpretation, and clinical important difference. Distributed-based approaches rely strictly on the distribution of the data. Examples include effect size, probability of relative benefit, and cumulative distribution functions. Applications are based on real-life and simulated examples.
Biography:
Joseph C. Cappelleri earned his MS in statistics from the City University of New York (Baruch College), PhD in psychometrics from Cornell University, and MPH in epidemiology from Harvard University. Dr. Cappelleri is an executive director of biostatistics in the Statistical Research and Data Science Center at Pfizer Inc. As an adjunct professor, he has served on the faculties at Brown University, Tufts Medical Center, and the University of Connecticut. He has co-authored about 1000 external presentations and 500 publications on clinical and methodological topics, including regression-discontinuity designs, meta-analysis, and health measurement scales. Dr. Cappelleri is the lead author of the book “Patient-Reported Outcomes: Measurement, Implementation and Interpretation” and has co-authored two other books. He is a Fellow of the American Statistical Association.
DATE: Wednesday, February 20, 2019
TIME: 4:00 pm
PLACE: Philip E. Austin Bldg., Rm. 108
Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326)
For more information, contact: Tracy Burke at tracy.burke@uconn.edu