Journal of Biometrics & Biostatistics

Shesh N. Rai

Biography

He is Professor of Bioinformatics and Biostatistics, and the Director of the Biostatistics Shared Facility at the James Graham Brown Cancer Center at the University of Louisville. I started my career in India as an Assistant Professor in 1982. Then I moved to Canada and obtained my PhD in 1993 from the University of Waterloo. As of 2013, I have spent 13 years designing numerous pre-clinical, cancer and heart failure clinical trials, and retrospective and prospective clinical studies, including high throughput observations. As a past member of the Institutional Review Board of St. Jude Children’s Research Hospital, St. Jude Safety Board and current member of Cancer Clinical Research Committee and Data and Safety Monitoring Committee of the James Graham Brown Cancer Center, University of Louisville, I have learned and always implement the safety issues in local and industry-sponsored clinical studies. I have served in NIH review panels as well as on projects for the national academy of sciences and the National research council and Cistel technology in Canada. I serve as statistical reviewer for many national and international scientific journals, including editorial board member in three journals. With my 140+ manuscripts, I have advanced statistical science or collaborative research dealing with pre-clinical data, longitudinal data, clinical trials, clinical informatics, retrospective studies, and survey studies.

Research Interest

Thoroughly experienced in designing (SAMPLE SIZE) and analyzing retrospective/prospective studies in CANCER and other CLINICAL and BASIC SCIENCE researches and BEHAVIORAL INTERVENTIONS; pursue developing statistical methods with real applications in heterogeneity in CLINICAL STUDIES, threshold DOSE-RESPONSE models, SURVIVAL ANALYSIS with incomplete and correlated data, efficient estimation in MIXED effects (REPEATED measure) models, robust estimation in high-dimension data (BIOINFORMATICS), effects of SAMPLING weights in log-linear models, and characterization and estimation of POPULATION RISK.