Marcos Matabuena

A fresh approach to estimate treatment effects despite missing data.

A new kNN method improves mean and variance estimation with uncertainty assessment.

Advancements in CGM technology improve diabetes management and patient care.

This article discusses methods for handling missing data in diabetes studies using CGM.

This article introduces a new method for predicting diabetes risk using survey data.

Introducing a framework to quantify uncertainty in predictive models, especially in complex data spaces.

This article discusses the significance of measuring uncertainty in health data analysis.

A look at how conformal prediction improves uncertainty quantification in biology.