Four fields where data has its own rules
Statistical method is common ground, but what each field demands is not: self-reported data, follow-up that breaks off or a survey with a complex design shape the analysis from the start. These are the four fields where we work with that depth.
Health research
From the clinical registry to a result a reviewer can verify
Survival, longitudinal data, predictive models and instrument validation, with clinical research groups and hospital departments.
See the sector →Public health and epidemiologyPopulation data that support a public health decision
Surveillance, inequalities, complex survey designs and the evaluation of population interventions.
See the sector →Biopharma and clinical evaluationClinical evidence that stands up to committee review
Academic and pragmatic trials, real-world evidence and biomarker analysis, with the analysis plan fixed before looking at the data.
See the sector →Nutrition and food healthFrom a food consumption survey to an estimate that supports a food and nutrition decision
Population intake, intervention studies and impact evaluation, with the treatment that self-reported data requires.
See the sector →