> Is there much of that going on? Most of that are statistical methods in statistic and not ML. We're talking about survival analysis, longitudinal analysis, c

> Is there much of that going on? Most of that are statistical methods in statistic and not ML. We're talking about survival analysis, longitudinal analysis, clinical trial, nonparametric statistic, etc... From my experiences ML is too dependent on large dataset. Medical data are often high dimensional and small. My thesis papers have leverage two statistician works to make decision trees and ensemble leverage more statistic to handle medical data (high dimensional data). As noted by Dr. Harrell, statistician, ML is much more suited with less noisy data, medical image. Also inference is most more important in the medical field that just prediction.