Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Search results (7)

« Back to Publications

mock: A R package for Mock Data Generation for the Observational Medical Outcomes Partnership Common Data Model

Du M. et al, (2025), The Journal of Open Source Software, 10, 8178 - 8178

Clusters of post-acute COVID-19 symptoms: a latent class analysis across 9 databases and 7 countries.

López-Güell K. et al, (2025), J Clin Epidemiol, 185

Refinement of post-COVID condition core symptoms, subtypes, determinants, and health impacts: a cohort study integrating real-world data and patient-reported outcomes.

Wang Y. et al, (2025), EBioMedicine, 111

Incidence of post-acute COVID-19 symptoms across healthcare settings in seven countries: an international retrospective cohort study using routinely-collected data.

Xie J. et al, (2024), EClinicalMedicine, 77

Time Series Methods to Assess the Impact of Regulatory Action: A Study of UK Primary Care and Hospital Data on the Use of Fluoroquinolones.

Guo Y. et al, (2024), Pharmacoepidemiol Drug Saf, 33

Calculating daily dose in the Observational Medical Outcomes Partnership Common Data Model.

Burkard T. et al, (2024), Pharmacoepidemiol Drug Saf, 33

IncidencePrevalence: An R package to calculate population-level incidence rates and prevalence using the OMOP common data model.

Raventós B. et al, (2024), Pharmacoepidemiol Drug Saf, 33