
Bryony Langford, MSc
Bryony has conducted a large number of meta-analyses, network meta-analyses and population-adjusted indirect comparisons to inform HTA submissions and exploratory research. She has also conducted analyses using real-world evidence, using data ranging from small rare disease registries to large medical databases. She has presented findings at conferences including ISPOR and ISCB.
Prior to working at Symmetron, Bryony spent several years working as a Senior Analyst at Costello Medical where she helped found their statistics team. Bryony also has a strong academic background. She completed a Masters in Computational Biology from the University of Cambridge, working with Cancer Research UK and AstraZeneca on a drug development project. This year she will complete an additional Masters in Statistics from the University of Sheffield with the ultimate goal of becoming a Chartered Statistician.
Publications
Presentations
Hall A, Langford B, Besford M, Eddowes L. Getting the balance right: comparing propensity score matching algorithms using real-world data from the US National Immunization Survey. ISCB 2017. Poster.
Steeves S, Langford B, Hall A. Machine learning methods for systematic literature reviews: automated abstract selection based on study design. ISCB 2017. Podium presentation.