Topic: "Analysis of Big Medical Movement Data"
Speaker: Dr. Jian Qing SHI , School of Mathematics & Statistics and Cloud Computing for Big Data CDT, Newcastle University
Time: 3:30-5:00 p.m., 5 April 2017 (Wed)
Venue: B101

Abstract of the talk:
To estimate the biological treatment effect in a randomized clinical trial, one often has to conduct subgroup analysis on a latent subgroup of subjects. Latency is induced because subgroup membership is observable in one arm of the trial and unidentified in the other. It typically occurs in clinical trials with all-or-none noncompliance when patients in the control arm have no access to active treatment and in oncology trials when a test used to identify the latent subgroup is performed only on subjects randomized to active treatment. In this talk, I will discuss recent developments for latent subgroup analysis with right censored time-to-event data. Illustrations will be given through a multicenter selective lymphadenectomy trial for melanoma.

About Dr. Jian Qing SHI: 
Dr. Jian Qing SHI is a Reader in Statistics in the School of Mathematics & Statistics and Assistant Director of Cloud Computing for Big Data CDT in Newcastle University UK. His research interests include functional data analysis, Bayesian nonparametric analysis for big data, missing data and applications in medicine. He is the principal investigator of several big research projects, and has been visiting fellow in Newton Institute in Cambridge and SAMSI in USA.