Research | Hugo Academic CV Theme

publications

Prediction Models, Infection, Post-Acute Care, Machine Learning, Electronic Health Record.

Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review

Zidu Xu

• Dec 11, 2024 • 1 min read

Bayesian Predictive Inference, Continuous Auxiliary Variables, Generalized Additive Model, Inclusion Propensity, Poststratification, Rstan

Improving Survey Inference Using Administrative Records Without Releasing Individual-Level Continuous Data

Sharifa Z. Williams

• Nov 18, 2024 • 1 min read

Surveillance; Participatory Surveillance; Influenza-Like Illness; COVID-19; Cell Phone; Sub-Saharan Africa; Population-Based; Lesotho; SARS-CoV-2; Technology; Epidemiology; Adult; Data Collection; Innovation; Mobile Phone; Cellphone

Influenza-Like Illness in Lesotho From July 2020 to July 2021: Population-Based Participatory Surveillance Results

Abigail R. Greenleaf

• Nov 18, 2024 • 1 min read

Cardiovascular Disease; Depression; Implementation Science.

Assessing the Fidelity of Depression Screening Implementation in Coronary Heart Disease Patients: A Cross‐Sectional Study

Chinelo Onyilofor

• Oct 18, 2024 • 1 min read

Rhinitis, Asthma, Seroatopy.

Trajectory analysis of rhinitis in a birth cohort from lower-income New York City neighborhoods

Nina M. Flores

• Jul 11, 2024 • 1 min read

preprints

Bayesian Additive Regression Trees; Causal Inference; Clinical Trials; Electronic Health Records; Generalizability; Propensity Score.

Generalizing Treatment Effects from Trials to EHR Populations using Propensity Score Predictive Inference

Jungang Zou

• Oct 14, 2025 • 1 min read

Bayesian Machine Learning

Multi-level variable selection using a BART-enhanced mixed-effects framework

Keming Zhang

• Sep 30, 2025 • 1 min read

Longitudinal Missing Data, Bayesian Nonparametric Methods, Sequential Imputation, Mixed-Effects Models, Multiple Imputation.

Nonparametric Bayesian Additive Regression Trees for Prediction and Missing Data Imputation in Longitudinal Studies

Jungang Zou

• Sep 30, 2025 • 1 min read

Bayesian Models, Group LASSO, Multiple Imputation, Projection Predictive Variable Selection.

Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Data

Jungang Zou

• Aug 6, 2025 • 1 min read

Depression; Primary Health Care; Sustainability; Collaborative Care.

Evaluating sustained reach and effectiveness of collaborative care models: A Cross-sectional study of the New York State Collaborative Care Medicaid Program

Kain Kim

• Jan 12, 2025 • 1 min read

software

SBMTrees — Sequential Imputation with Bayesian Trees Mixed-Effects Models for Longitudinal Data CRAN • GitHub
AuxSurvey — Survey Analysis with Auxiliary Discretized Variables CRAN • GitHub
SAMTx — Sensitivity Assessment to Unmeasured Confounding with Multiple Treatments CRAN
BMIselect — Bayesian MI-LASSO Models for Variable Selection on Multiply-Imputed Data CRAN • GitHub
TMOGA — A Multi-Objective Genetic Algorithm for Dynamic Community Detection Problem PyPI • GitHub