Statistical thinking for decisions under uncertainty.
I design statistical models for inference and prediction, with assumptions made explicit and uncertainty quantified.
I work with real-world data to support decisions where information is incomplete and variability is intrinsic.
Experience with health-related data and observational studies, where careful modeling matters.
I start from the question, not from the method or tool.
Every model relies on assumptions. I make them visible and discuss their implications.
Point estimates alone are rarely sufficient. Uncertainty is always reported and interpreted.
I am Anastasios Apsemidis, a statistician with a PhD from the Athens University of Economics and Business.
My background spans mathematics, statistics and applied biostatistics, with a focus on inference under uncertainty.