Data Analysis

We strive to apply the best analytic methods for answering each research question and discovering meaning in your data. We are experienced in a wide variety of statistical and epidemiological analyses across a broad range of disciplines, including but not limited to:

  • Analyses of clustered data such as those generated from RCTs and longitudinal cohort studies (Generalized linear mixed models and generalized estimating equations)
  • Case-control and case cohort analysis
  • Causal inference methods
  • Tests for mediation and moderation
  • Machine learning methods for exploratory data analysis and prediction modeling
  • Psychometrics for instrument development
  • Validation and latent class analysis
  • Diagnostic accuracy

Read more about analytic methods in one of the peer-reviewed articles published by RDAC.