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.