SYSTEM FOR PREDICTIVE ANALYTICS USING REAL-WORLD PHARMACEUTICAL TRANSACTIONS

摘要

A system for predictive analytics using real-world pharmaceutical transactionsincludes a computer having a processor and memory, a data collection componentconfigured to aggregate data for a plurality of pharmaceutical transactions,and a datareduction module configured to eliminate non-compliant transactions togenerate areduced transaction data set. An analysis module applies multiple linearregressionanalysis to a portion of the reduced transaction data set to identify keyregressionvariables that correlate with an excess total return to shareholders. Theanalysis modulealso applies logistic regression analysis to a portion of the reducedtransaction data set toidentify key regression variables that correlate with an increased probabilityof regulatoryagency approval. A report generator provides a graphical output of theidentified keyregression variables and a probability value corresponding to a likelihood ofregulatoryagency approval.