San Francisco Chapter of the American
Statistical Association Seminar
Date: April 16th
4:30-6:00PM
Speaker: Weng Kee Wong, PhD
Department of Biostatistics
Fielding School of Public Health, UCLA
Title: Using Animal Instincts to Find Efficient
Experimental Designs
ABSTRACT
I first
present a brief overview of optimal design methodology. Particle swarm
optimization (PSO), as a general optimization tool, is then introduced to find
optimal designs for potentially any model and any design criterion. The
method works quite magically and frequently finds the optimal design or a nearly
optimal design in an efficient way. There is virtually no explicit
assumption required for the method to perform well and the user only needs to
input a few easy tuning parameters in the PSO algorithm.
Using
popular models from the biological and pharmaceutical sciences as examples, I
demonstrate how PSO finds different types of optimal experimental designs for
various dose response studies, including maxi-min or mini-max types of optimal
designs, where effective algorithms for searching them have remained elusive
until now.
Location:
South
Science Building Room 149 (in short SC-S 149), Cal
State University at East Bay (Hayward Hills Campus)
Here
is the campus map/parking information:
www20.csueastbay.edu/about/visitor-information/maps-campus-locations/hayward-campus-map/index.html
Driving
direction:
www20.csueastbay.edu/about/visitor-information/driving-directions.html
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