FIU Discovery

Applying machine learning in predicting medication treatment outcomes for opioid use disorder

The sensitivity of Bayesian kernel machine regression (BKMR) to data distribution: a comprehensive simulation analysis.  JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. 

From Clinical Trials to Real-World Impact: Introducing a Computational Framework to Detect Endpoint Bias in Opioid Use Disorder Research.  DRUG AND ALCOHOL REVIEW.  45.

Using tree-based models to identify factors contributing to trait negative affect in adults

Data cleaning and harmonization of clinical trial data: Medication-assisted treatment for opioid use disorder.  PLOS ONE.  19.

Empirically contrasting urine drug screening-based opioid use disorder treatment outcome definitions.  ADDICTION.  119:1289-1300.

Mangrove Forests of Biscayne Bay, FL, USA may Act as Sinks for Plastic Debris.  WETLANDS.  44.

Individual-Level Risk Prediction of Return to Use During Opioid Use Disorder Treatment.  JAMA PSYCHIATRY.  81:45-56.

Capturing drug use patterns at a glance: An n-ary word sufficient statistic for repeated univariate categorical values.  PLOS ONE.  18.

No evidence of accelerated epigenetic aging among black heroin users: A case vs control analysis

Risk of Experiencing an Overdose Event for Patients Undergoing Treatment With Medication for Opioid Use Disorder.  AMERICAN JOURNAL OF PSYCHIATRY.  180:386-394.

Evaluating the effect of acute diesel exhaust particle exposure on P-glycoprotein efflux transporter in the blood-brain barrier co-cultured with microglia

Specific polysubstance use patterns predict relapse among patients entering use disorder treatment

The Effect of Changing the Military's Sexual Assault Laws on Law Enforcement Investigative Findings in the US Army.  LAW AND HUMAN BEHAVIOR.  46:313-323.

PathwayMultiomics: An R Package for Efficient Integrative Analysis of Multi-Omics Datasets With Matched or Un-matched Samples

Evaluating the endothelial-microglial interaction and comprehensive inflammatory marker profiles under acute exposure to ultrafine diesel exhaust particles in vitro.  TOXICOLOGY.  454.

PathwayPCA: an R/Bioconductor Package for Pathway Based Integrative Analysis of Multi-Omics Data.  PROTEOMICS.  20.

Interpreting pathways to discover cancer driver genes with Moonlight

An evaluation of supervised methods for identifying differentially methylated regions in Illumina methylation arrays

coMethDMR: accurate identification of co-methylated and differentially methylated regions in epigenome-wide association studies with continuous phenotypes.  NUCLEIC ACIDS RESEARCH.  47.

Lessons Learned From Miami-Dade County's COVID-19 Epidemic: Making Surveillance Data Accessible for Policy Makers.  JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE.  27:310-317.

Multistate multivariate statistical process control.  APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY. 880-892.

SYMPOSIUM: A GENTLE INTRODUCTION TO DATA SCIENCE TOOLS FOR ADDICTION RESEARCH: USE CASES WITH EXAMPLES Plaza Ballroom A.  DRUG AND ALCOHOL DEPENDENCE.

Enhancing Bayesian Kernel Machine Regression: A Dynamic Thresholding Framework to Address Variability and Skewness in High-Dimensional Environmental Health Data

The Sensitivity of Bayesian Kernel Machine Regression (BKMR) to Data Distribution: A Comprehensive Simulation Analysis

Using Tree-Based Models to Identify Factors Contributing to Trait Negative Affect in Adults With and Without Major Depression

coMethDMR: Accurate identification of co-methylated and differentially methylated regions in epigenome-wide association studies

pathwayPCA: an R package for integrative pathway analysis with modern PCA methodology and gene selection

Engaging an advisory board in discussions about the ethical relevance of algorithmic bias and fairness