Texas A&M - Labors of Lab
This installment of "Labors of Lab" features statistics Ph.D candidate Richard Payne '17, who is using Bayesian statistics -- specifically big-data classification methods -- in collaboration with Texas A&M distinguished professor of statistics Bani Mallick to make algorithms more efficient.
Professor of Statistics, Ursula Muller-Harknett, has been selected to receive a 2015 Distinguished Achievement College-Level Teaching Award awarded by the Association of Former Students at Texas A&M University.Read More →
The Texas A&M Masters of Science in Analytics program marked an important milestone in May: its first graduating class. Learn more about the Class of 2015's experience and how they capitalized on an innovative opportunity for individuals and employers in today's data-driven world.Read More →
11:30 AM / 12:30 PM Blocker Building, Room 113 979-845-3143
Statistical Science Department
Southern Methodist University
"Real-Time Prediction in Clinical Trials: A Statistical History of REMATCH"
Randomized clinical trial designs often incorporate one or more planned interim analyses. In event-based trials, one may prefer to schedule the interim analyses at the times of occurrence of specified landmark events, such as the 100th event, the 200th event, and so on. Because an interim analysis can impose a considerable logistical burden, and the timing of the triggering event in this kind of study is itself a random variable, it is natural to seek to predict the times of future landmark events as accurately as possible.
Early approaches to prediction used data only from previous trials, which are of questionable value when, as commonly occurs, enrollment and event rates differ unpredictably across studies. With contemporary clinical trial management systems, however, one can populate trial databases essentially instantaneously. This makes it possible to create predictions from the trial data itself — predictions that are as likely as any to be reliable and well calibrated statistically.
This talk will describe work that some colleagues and I have done in this area. I will set the methodologic development in the context of the study that motivated our research: REMATCH, an RCT of a heart assist device that ran from 1998 to 2001 and is considered a landmark of rigor in the device industry.
11:30 AM / 12:20 PM Blocker Building (BLOC), Room 113 979-845-3141
11:30 AM / 12:30 PM Blocker Building (BLOC), Room 113 979-845-3141