Biostatistics
Biostatistics is a field that applies statistical methods to biological and health-related data. Our department has expertise in biostatistics that utilize various techniques such as:
- Bayesian adaptive trials to design clinical studies that dynamically adjust based on accumulating data,
- reinforcement learning to optimize treatment strategies over time,
- causal inference to establish cause-and-effect relationships in observational studies,
- network analysis to understand complex relationships among variables in biological systems,
- survival data analysis to assess time-to-event outcomes in medical research,
- nonparametric and functional data methods to learn bio-signals from wearables and brain imaging, and
- longitudinal analysis to investigate changes in biomarkers over time.
These methods play a crucial role in advancing medical research and improving healthcare outcomes by providing robust and reliable insights from data.