Psychometric analysis
Regulators want proof that your COA measures what it claims. We produce that evidence and write it up for submission.
Case study: a score that could not detect changeMeasurement Science
Psychometrics and measurement science
The quantitative work behind your clinical outcome assessment, from the first psychometric evaluation to the results you report to regulators.
We do the quantitative work behind your COA. That covers validation, meaningful change and how the results are reported to regulators.
Assess→Plan→Enact
Meaningful change derivation
Know which score change matters to patients, and use it as the responder threshold in your efficacy analysis.
Resources: R package and publicationsSmall sample psychometrics
Rare disease and early-phase trials give you few patients. We choose methods that suit small samples, such as borrowing strength from earlier studies, and we show you where their limits are.
Case study: evidence from 15 patients · ISOQOL 2026 postersDigital health technology
A DHT that fits your trial, with the evidence to back it up.
Case study: step count data that showed no improvementTraining
Bring your internal team up to speed with entry, intermediate and advanced courses in psychometrics and digital health technology.
Rapid decision analysis
Your CEO has a question this week. A quick exploratory analysis puts data behind the decision. We also take on statistical analysis and programming for your COA work.
Longitudinal and intensive longitudinal data
Daily diaries and wearables give messy data with gaps. We analyse it so your results still hold.
Enrichment for COA endpoints
Which patients are most likely to change on your COA? We use baseline characteristics to find the best population for your trial.
COA selection and development
Supports Strategic Consulting with sound psychometric assessment of potential measures. See it in Strategic Consulting
Communicating results to patients
The analysis behind graphics and films that patients can follow. See it in Strategic Consulting
Meaningful change
Regulators ask how much change matters to a patient for every COA-based endpoint. Our collaborative publications set out the methods, and an R package on CRAN puts them into action.