Professor Stijn Vansteelandt
BSc MSc PhD
of Statistical Methodology
I am Belgian and graduated as Master in Mathematics at Ghent University in 1998. I obtained a PhD in Mathematics (Statistics) in 2002 at the same university, and subsequently did postdoctoral research in the Department of Biostatistics of the Harvard School of Public Health. I joined the London School of Hygiene and Tropical Medicine in 2017, and also hold a position as Professor of Statistics in the Department of Applied Mathematics, Computer Science and Statistics at Ghent University, Belgium.
I develop statistical methods for inferring the causal effect of an exposure on an outcome from experimental and observational data under minimal and well-understood assumptions. My work focuses on a variety of topics in biostatistics, epidemiology and medicine, such as the analysis of longitudinal and clustered data, missing data, adjustment for baseline covariates in randomised experiments, mediation and moderation/interaction, instrumental variables, time-varying confounding, analysis of outcome-dependent samples and causal machine learning.
My current research primarily focuses on data-adaptive inference; that is, how to obtain honest confidence intervals and p-values when variable selection or machine learning algorithms are employed to obtain estimators of effects or associations.
I have just finished a term as Co-Editor of Biometrics, the leading flagship journal of the International Biometrics Society, and have previously served as Associate Editor for the journals Biometrics, Biostatistics, Epidemiology, Epidemiologic Methods and the Journal of Causal Inference. In 2020, I have joined the editorial board of the Journal of the Royal Statistical Society - Series B.