45 citations · 46 across the 6 of their papers we have counts for
6 papers
ROC Analysis with Covariate Adjustment Using Neural Network Models: Evaluating the Role of Age in the Physical Activity-Mortality Association
Ziad Akram Ali Hammouri, Yating Zou, Rahul Ghosal +2
The receiver operating characteristic (ROC) curve and its summary measure, the Area Under the Curve (AUC), are well-established tools for evaluating the efficacy of biomarkers in b…
Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs
Marcos Matabuena, Juan C. Vidal, Rahul Ghosal +1
Complex survey designs are commonly employed in many medical cohorts. In such scenarios, developing case-specific predictive risk score models that reflect the unique characteristi…
Conditional Mean and Variance Estimation via \textit{k}-NN Algorithm with Automated Variance Selection
Marcos Matabuena, Juan C. Vidal, Oscar Hernan Madrid Padilla +1
We introduce a novel \textit{k}-nearest neighbor (\textit{k}-NN) regression method for joint estimation of the conditional mean and variance. The proposed algorithm preserves the c…
Kernel Biclustering algorithm in Hilbert Spaces
Marcos Matabuena, J. C Vidal, Oscar Hernan Madrid Padilla +1
Biclustering algorithms partition data and covariates simultaneously, providing new insights in several domains, such as analyzing gene expression to discover new biological functi…
Hypothesis testing for matched pairs with missing data by maximum mean discrepancy: An application to continuous glucose monitoring
Marcos Matabuena, Paulo Félix, Marc Ditzhaus +2
A frequent problem in statistical science is how to properly handle missing data in matched paired observations. There is a large body of literature coping with the univariate case…
Glucodensities: a new representation of glucose profiles using distributional data analysis
Marcos Matabuena, Alexander Petersen, Juan C. Vidal +1
Biosensor data has the potential ability to improve disease control and detection. However, the analysis of these data under free-living conditions is not feasible with current sta…