We study the incentives of drug producers to develop predictive biomarkers, taking into account strategic interaction between drug producers and health plans. For this purpose we develop a two-dimensional spatial framework that allows us to capture the informational role of biomarkers and their...

Purpose: This research seeks to answer the basic question, “What would be the most determining factors if I perform regression analysis using several independent variables?” This paper suggests the way to estimate the proper royalty rate and up-front payment using multiple data I can get...

Responsive to calls from lawmakers, the USPTO has recently announced a broad set of measures to increase the quality of drug patents ex ante, before they are granted, as a way of in the US. However, there is currently no way to tell which patent applications cover inventions that will lead to...

We apply machine-learning techniques to predict drug approvals using drug-development and clinical-trial data from 2003 to 2015 involving several thousand drug-indication pairs with over 140 features across 15 disease groups. To deal with missing data, we use imputation methods that allow us to...