How does a researcher find a biostatistician or other research methods collaborator or consultant?
• Free service staffed by SOM Public Health Sciences statisticians to address introductory statistics and research methods questions.
PHS faculty and staff have expertise in:
- Clinical trial design and analysis; including pre-clinical, phase I, II & III trials, and data coordinating centers
- Observational study design; including cohort studies, case-control studies, longitudinal studies, chart reviews
- Mixed-methods research; study design and analysis
- Statistical analyses; including survival analysis, longitudinal data, causal inference, Markov models, Bayesian models, meta-analyses
- Predictive modeling; including development, validation and implementation of algorithms
- Epidemiological and outcomes research; including use of large registry data (e.g. Medicare, UNOS)
- Data management and sharing; including SAS, REDCap, OnCore, de-identification, creating public use datasets
- Statistical Software; including SAS, R, Stata, SPSS, GraphPad Prism, MPlus, Matlab
- DSMBs; both study statistician and independent statistician serving on the DSMB