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07/19/2023
Non-parametric inference on calibration of predicted risks
Moderate calibration, the expected event probability among observations ...
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08/29/2022
Methodological concerns about 'concordance-statistic for benefit' as a measure of discrimination in treatment benefit prediction
Prediction algorithms that quantify the expected benefit of a given trea...
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08/05/2022
Value of Information Analysis for External Validation of Risk Prediction Models
Background: Before being used to inform patient care, a risk prediction ...
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05/12/2022
Closed-Form Solution of the Unit Normal Loss Integral in Two-Dimensions
In Value of Information (VoI) analysis, the unit normal loss integral (U...
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02/16/2022
Programmable Interface for Statistical Simulation Models (PRISM): Towards Greater Accessibility of Clinical and Healthcare Decision Models
Background: Increasingly, decision-making in healthcare relies on comput...
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10/16/2021
Minding non-collapsibility of odds ratios when recalibrating risk prediction models
In clinical prediction modeling, model updating refers to the practice o...
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06/20/2021
Uncertainty and Value of Perfect Information in Risk Prediction Modeling
Background: Predicted probabilities from a risk prediction model are ine...
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02/29/2020
Model-based ROC (mROC) curve: examining the effect of case-mix and model calibration on the ROC plot
The performance of a risk prediction model is often characterized in ter...
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01/02/2020
Concentration of Benefit index: A threshold-free summary metric for quantifying the capacity of covariates to yield efficient treatment rules
When data on treatment assignment, outcomes, and covariates from a rando...
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01/16/2019