Real-world evidence and health data
Routinely collected health data can answer questions that trials cannot, but only when the analysis respects how the data were generated.
I design and analyse observational studies on electronic health records, registries and linked datasets, and turn the results into evidence that clinicians, commissioners and regulators can use.
What I can do for you
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Define cohorts and assess feasibility for observational studies and clinical trials
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Model outcomes and risk: survival analysis, risk scores, propensity score matching
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Analyse health inequalities, including area-level deprivation
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Assess data quality across sites and sources
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Report findings as client reports, peer-reviewed papers and presentations
Track record
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Over three years analysing NHS secondary mental health records: 6M+ patients across 15 trusts, with up to 25 years of follow-up and variables derived from clinical notes by large language models
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Led a study of over 1 million patients on how neighbourhood deprivation relates to psychiatric diagnosis, presented at University College London and the British Neuroscience Association
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Delivered clinical trial patient selection, risk scoring and outcome measures for pharmaceutical clients
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First author of the BMJ Open cohort profile of a national mental health research database
Who I work with
Pharmaceutical and biotech companies, contract research organisations, RWE consultancies, NHS and health-data organisations, health-tech companies, and the charity sector.
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Have a question your data could answer? Get in touch: ana@stimulusanalytics.com