System and method for incorporating real-world evidence data and factor analysis in clinical trials

Abstract

A method comprising generating an appended dataset by combining treatment arm data from a clinical trial and real-world evidence data; creating a first predictive model based on a training subset of the appended dataset; generating a first performance measurement for the first predictive model based on a first outcome for a test subset of the appended dataset using the first predictive model and an actual outcome for the test subset, removing one or more columns from the appended dataset to generate a modified dataset, creating a second predictive model based on the modified dataset, generating a second performance measurement for the second predictive model based on a second outcome for the test subset of the appended dataset using the second predictive model and the actual outcome for the test subset, returning a result that indicates an impact level of the one or more columns.

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