Title: Clinical Trials and application of Statistical Modeling and Machine Learning in Biomedical Data

Abstract:

Clinical trials/research are conducted to examine the clinical questions of practicing physicians. It is important to design trials appropriately in advance.  A randomized, controlled trial is the ultimate design for treatment comparisons at the final confirmatory stage. The need and impact of a proper clinical trial has comprehended during COVID-19 pandemic. Over the years, there has been substantial advancement of clinical trial design, conduct of study and analysis of clinical trial data. In my talk, I will discuss my experience with the evolvement of trial design including group sequential and adaptive trials, analysis of clinical data using frequentist and Bayesian approach, techniques to adjust for multiplicity, Estimand framework and application of causal inference, advanced data visualization and use of Machine Learning and Deep Learning to build predictive models for biomedical data.