Kush is currently working
as a Study Biostatistician at Hines Veteran Affairs Cooperative
Studies Program Coordinating Center. He received his PhD
degree in Biostatistics and Masters degree in Electrical
Engineering at the University of Illinois at Chicago.
During his graduate life, he had been involved in diverse
statistical research projects in the health sciences field
under the guidance of Drs. Bhaumik and Gibbons. The list
of projects include testing problems of a gamma random
variate, sample size determination for non-linear mixed
effects regression
models, and estimation, modeling and testing procedures
for fMRI event related designs. He is also co-author of
two software applications, fMRIviewer and MIXZIP. fMRIviewer
allows the user to analyze fMRI event-related designs using
random-effects regression models. MIXZIP allows the user
to estimate mixed-effects Zero-Inflated Poisson (ZIP) regression
models using the maximum marginal likelihood approach.
His research interests include mixed-effect models, survival
analysis, missing data and design of clinical trials. |