5 papers
Nonparametric Regression via Tree-Guided Feature Aggregation
Sithija Manage, Y. Samuel Wang, Martin T. Wells
In regression problems where covariates are naturally organized in a hierarchical tree structure, a central challenge is to select the resolution at which covariates enter the mode…
SEMMS with Random Effects: A Mixed-Model Extension for Variable Selection in Clustered and Longitudinal Data
Haim Bar, Martin T. Wells
SEMMS (Scalable Empirical-Bayes Model for Marker Selection) is a variable-selection procedure for generalized linear models that uses a three-component normal mixture prior on regr…
COMBO and COMMA: R packages for regression modeling and inference in the presence of misclassified binary mediator or outcome variables
Kimberly A. Hochstedler Webb, Martin T. Wells
Misclassified binary outcome or mediator variables can cause unpredictable bias in resulting parameter estimates. As more datasets that were not originally collected for research p…
Effect estimation in the presence of a misclassified binary mediator
Kimberly A. Hochstedler Webb, Martin T. Wells
Mediation analyses allow researchers to quantify the effect of an exposure variable on an outcome variable through a mediator variable. If a binary mediator variable is misclassifi…
An assessment of racial disparities in pretrial decision-making using misclassification models
Kimberly A. Hochstedler Webb, Sarah A. Riley, Martin T. Wells
Pretrial risk assessment tools are used in jurisdictions across the country to assess the likelihood of "pretrial failure," the event where defendants either fail to appear for cou…