4 papers · 1 filter
A New Trained Supervised Method for Calculating Patient Similarity
Minzee Kim, Joel A. Dubin
Personalized predictive modelling has been growing rapidly with the increasing availability of Electronic Health Records. This approach aims to improve a model's predictive perform…
A General Mixture Loss Function to Optimize a Personalized Predictive Model
Tatiana Krikella, Joel A. Dubin
Advances in precision medicine increasingly drive methodological innovation in health research. A key development is the use of personalized prediction models (PPMs), which are fit…
Dynamic Prediction of Joint Longitudinal-Survival Models Using a Similarity-Based Approach
Minzee Kim, Joel A. Dubin
Longitudinal and time-to-event data are often analyzed in biomarker research to study the association between the longitudinal biomarker measurements and the event-time outcome, in…
Evaluating real-time probabilistic forecasts with application to National Basketball Association outcome prediction
Chi-Kuang Yeh, Gregory Rice, Joel A. Dubin
Motivated by the goal of evaluating real-time forecasts of home team win probabilities in the National Basketball Association, we develop new tools for measuring the quality of con…