Rajesh Nandy, PhD

My primary research goal is to develop novel, intuitive, and practical statistical methods that can contribute to solving real life problems. In fact, the motivation for most of my statistical methodological research comes from real data where conventional statistical approaches are either inadequate or fail completely. To accomplish my research objectives, I actively seek opportunities to collaborate with statisticians and investigators in diverse research fields. I have applied my methods to a broad range of applications including clinical trials, neuroimaging, dose response, psychiatry, and signal processing using a wide array of statistical methods like Multivariate Statistical Analysis, Receiver Operating Characteristics (ROC) methods, Multiple Comparison, Resampling Methods, Machine Learning, Bayesian variable selection, Optimal Designs, and Spatial Statistics.