Biostatistics and data science for clinical research.
Smart Data Analysis and Statistics (SDAS) develops and applies statistical methods to support clinical research and evidence generation from trials and real-world data.
- Clinical trial design, analysis, and simulation
- Real-world evidence and comparative effectiveness
- Evidence synthesis and meta-analysis
- Prediction models and precision medicine
- Reproducible statistical software in R
- metamisc — tools for meta-analysis of diagnosis and prognosis research
- precmed — methods for estimating and validating treatment effects
- SimTOST — simulation-based sample-size planning for bioequivalence trials
- bcts — Bayesian clinical trial simulation
Browse courses and learning materials on Thinkific.
SDAS is led by Thomas Debray, PhD. We are based in Utrecht, the Netherlands.