5 citations · 6 across the 10 of their papers we have counts for
10 papers
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…
Causal Inference on Missing Exposure via Robust Estimation
Yuliang Shi, Yeying Zhu, Joel A. Dubin
How to deal with missing data in observational studies is a common concern for causal inference. When the covariates are missing at random (MAR), multiple approaches have been prov…
Model Selection for Causal Modeling in Missing Exposure Problems
Yuliang Shi, Yeying Zhu, Joel A. Dubin
In causal inference, properly selecting the propensity score (PS) model is an important topic and has been widely investigated in observational studies. There is also a large liter…
A Personalized Predictive Model that Jointly Optimizes Discrimination and Calibration
Tatiana Krikella, Joel A. Dubin
Precision medicine is accelerating rapidly in the field of health research. This includes fitting predictive models for individual patients based on patient similarity in an attemp…
Functional Spherical Autocorrelation: A Robust Estimate of the Autocorrelation of a Functional Time Series
Chi-Kuang Yeh, Gregory Rice, Joel A. Dubin
We propose a new autocorrelation measure for functional time series that we term spherical autocorrelation. It is based on measuring the average angle between lagged pairs of serie…
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…
Similarity-based Random Survival Forest
Yingying Xu, Joon Lee, Joel A. Dubin
Predicting time-to-event outcomes in large databases can be a challenging but important task. One example of this is in predicting the time to a clinical outcome for patients in in…
Therapeutic hypothermia: quantification of the transition of core body temperature using the flexible mixture bent-cable model for longitudinal data
Shahedul A Khan, Grace S Chiu, Joel A Dubin
By reducing core body temperature, T_c, induced hypothermia is a therapeutic tool to prevent brain damage resulting from physical trauma. However, all physiological systems begin t…