Description
Dr. Zheng Wei
Professor of Statistics
Indian Institute of Technology, Kanpur
Adaptive Designs for Selection of Effective Treatments and Estimating Their Worth
In drug development clinical studies, multiple new treatments (drugs) for a specific disease are of interest for evaluation, selection and confirmation. In such studies, a problem of interest is selecting (identifying) effective treatments from a set of available treatments and estimating their worth.
Traditional designs are not appropriate for such problems as they do not allow any modifications in trials in between (e.g., dropping unsafe drugs interim), resulting in patients being unexposed to unsafe drugs. Due to these drawbacks of traditional designs, adaptive designs have become quite popular
during the last thirty five years. In this talk we will discuss some adaptive designs for selection of effective treatments and estimation of their worth, with special reference to Drop-the-Loser Design (DLD).
Biography
Dr. Neeraj Misra is a Professor in the Department of Mathematics & Statistics at Indian Institute of Technology,
Kanpur. He earned his Ph.D. in Statistics from Indian Institute of Technology, Kanpur. His research interests
include entropy estimation, theory of stochastic orders and its applications, estimation in restricted parametric
space, and ranking and selection problems and related estimation problems.
Featuring: Dr. Neeraj Misra, Professor of Statistics - Indian Institute of Technology, Kanpur
Location
SP1 ROOM 450- San Pedro I, 506 Dolorosa St.
Category:
Campus Events
