UCLA DomStat


Statistical Analysis

DOMStat statisticians have expertise in implementing a wide range of analytic approaches, including:

  • High-throughput -omics methods
  • Biomarker development and validation
  • Statistical genetics
  • Survival analysis
  • Longitudinal analysis
  • Multilevel/hierarchical models
  • Nonparametric methods
  • Quasi-experimental designs
  • Complex survey samples
  • Structural equation modeling
  • Psychometric reliability
  • Bayesian methods
  • Joint modeling of longitudinal and survival data
  • Prediction modeling and machine learning
  • Meta-analysis
  • Imputation and other missing data strategies
  • Monte Carlo simulations