Over the past few years, his work has involved supporting multiple projects at the BHRU covering such statistical techniques as meta-analysis, Bayesian meta-regression, generalized linear models, zero-inflated repeated-measures regression, hurdle models, GEE, GAMLSS, machine learning approaches, hierarchical models. Previous projects have included Rasch analysis, assessing agreement, questionnaire development, survey data analysis, biomarker discovery, statistical genetics, statistical process control, adaptive trial design, SW-CRCT design…
These tools support his interest in the field of Healthcare Statistics, and more specifically Trial Design; especially sample size estimation
