I've led statistical strategy, evidence synthesis, and survival modelling for NICE health technology assessments at Warwick Evidence and the Centre for Evidence and Implementation Science.
I work across single and multiple technology appraisals, fast-track appraisals, Cancer Drugs Fund submissions, diagnostic assessment reports, and highly specialised technologies. I've presented and defended statistical approaches before NICE appraisal committees and advised manufacturers on submissions, indirect comparisons, economic modelling, and technical responses.
My work includes parametric, flexible, piecewise exponential, mixture-cure, and treatment-waning survival models, alongside treatment-switching adjustments using RPSFTM and IPCW. I also conduct MAIC, STC, network meta-analysis, propensity-score weighting, and multilevel network meta-regression using sponsor-provided clinical trial datasets.
Earlier, I led trial and survivorship statistics across diabetes, cancer, RCT, cohort, and longitudinal studies. I contribute to peer-reviewed research, serve on the Journal of Research in Nursing editorial board, and bring practical experience in R, SPSS, Stata, Python, SAS, and CDISC datasets.
