Independent statistical support for robust, defensible research
I work with research teams on studies where uncertainty, structure, or design complexity make "standard" statistical approaches uncomfortable- whether that's at the planning stage, during analysis or when results need to be interpreted and defended.
This work often involves complex study designs, repeated measurements, missing or unbalanced data, or observational settings where assumptions matter. Where possible, I work with teams at the planning stage to help translate scientific questions into feasible designs and analysis strategies.
My role is to help teams understand what their data can reliably support, and how different ways of analyzing the data can shape the conclusions.
Services and Support
Study design and planning
I work with research teams early to translate scientific questions into study designs that can support clear, defensible conclusions. This includes choosing appropriate endpoints, planning sample sizes and making key assumptions explicit before data are collected -- particularly for complex or resource-intensive studies.
Analysis and interpretation
I support the analysis of data from observational, in vivo, in vitro and ex vivo studies with a focus on longitudinal, multivariate and unbalanced data. The emphasis is on what the data show, what they do not, and how sensitive conclusions are to analytical assumptions.
Independent review and decision support
I provide independent statistical review of study designs, analyses, and reports -- especially where results inform go/no-go decisions, internal alignment, or external communication. The goal is not to re-analyze for its own sake, but to strengthen confidence in the conclusions being drawn.
