GMU Statistics Collaboration Core

Expertise

Statistical Expertise:

  • Biostatistics and Bioinformatics
  • Time Series and Functional Data
  • Clinical Trial Design and Analysis
  • Semiparametric and Nonparametric Analysis
  • Measurement Error and Selection Bias
  • Machine Learning (ML), Artificial Intelligence (AI), and Interface of Statistics and Computer Science
  • Bayesian Analysis and Inference
  • Spatial, Temporal Data Analysis
  • Simultaneous Inference, Multiple Comparisons, and Extreme value theory
  • High-dimensional or Big Data
  • Sample Surveys and Crowdsourcing
  • Natural Language Processing, Statistics for Electronic Health Records (EHR)
  • Geometric Data Analysis, Random Fields, and Inference for Geometric Objects
  • Statistical Privacy and Security Analytics
  • Statistical Computing, Visualization Analytics, and Data Mining
  • Data Compression, Record Linkage, and Feature Selection
  • Statistical Imaging, Mixture Models, and Causal Inference

Biomedical Expertise:

  • Cancer
  • Wound care & rehab
  • Cardiovascular disease
  • Surgery
  • Pediatrics
  • Sleep medicine
  • Emergency medicine
  • Dental medicine
  • General medicine
  • Clinical Trial
  • Genetics

Other Areas of Expertise:

  • Criminal justice
  • Finance
  • Government
  • Law
  • Policy
  • Biomaterial
  • Biomedical engineering
  • Other engineering
  • Environmental science
  • Neuroscience
  • Agriculture
  • Psychiatry
  • Life sciences
  • Astronomy
  • Energy
  • Computer science
  • Education