Mingyao Li, PhD, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania.
Peter Mueller, PhD, Department of Mathematics, Department of Statistics and Data Sciences, University of Texas at Austin
Lu Mao, PhD, Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison
Snehalata Huzurbazar, PhD, Department of Biostatistics, West Virginia University
Meetings of the Eastern North American Region of the International Biometric Society (a.k.a. "ENAR meetings") are held in late March or early April each year and reflect the broad interests of the Society, including both quantitative techniques and application areas. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations.
The Joint Statistical Meetings, known simply as "JSM", is the largest gathering of statisticians held annually in North American. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations. Our students often receive top awards and participate in the affiliated career marketplace at the event.
Marnie Bertolet, PhD Pitt Public Health Assistant Professor of Epidemiology; the Clinical and Translational Science Institute; and Biostatistics Thursday, February 4, 2016 3:30 pm, A115 Crabtree Hall Response-Adaptive Trials: The Reality can be Messy Abstract. The Statins for Pulmonary and Cardiac Complications of Chronic HIV (SPARC) pilot clinical trial utilized a drop-the-loser urn response-adaptive design to allow participants higher probability of being randomized to the more effective study arm. A number of real-life complications made this design challenging including: 1) The use of a surrogate outcome measured at week 4 to adapt the randomization probabilities; 2) Some randomizations that occurred prior to the determination of all the previous participants’ surrogate outcomes; and 3) Participants with visits outside the window for the surrogate outcome measure. The theory for these designs assumes that the adaptive randomization is based on the final outcome. This provides two additional challenges: 1) SPARC has multiple final outcomes five months after the surrogate is measured; and 2) The surrogate was not so strongly related to the outcome as expected. Dr. Bertolet will describe how these challenges were addressed and the impacts on the implementation, analysis and results of the SPARC trial.
Last Updated On Monday, March 21, 2016 by GSPH Webmaster
Created On Monday, March 21, 2016