Quantifying outcome misclassification in multi-database studies: The case study of pertussis in the ADVANCE project

Author:

Gini Rosa,Dodd Caitlin N.,Bollaerts Kaatje,Bartolini Claudia,Roberto Giuseppe,Huerta-Alvarez Consuelo,Martín-Merino Elisa,Duarte-Salles Talita,Picelli Gino,Tramontan Lara,Danieli Giorgia,Correa Ana,McGee Chris,Becker Benedikt F.H.,Switzer Charlotte,Gandhi-Banga Sonja,Bauwens Jorgen,van der Maas Nicoline A.T.,Spiteri Gianfranco,Sdona Emmanouela,Weibel Daniel,Sturkenboom Miriam

Funder

The Innovative Medicines Initiative Joint Undertaking

European Union's Seventh Framework Programme

Publisher

Elsevier BV

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Veterinary,General Immunology and Microbiology,Molecular Medicine

Reference28 articles.

1. The ADVANCE distributed network system for evidence generation on vaccines coverage;Sturkenboom;Vaccine,2020

2. ADVANCE database characterization and fit for purpose assessment for multi-country studies on the coverage, benefits and risks of vaccinations;Sturkenboom;Vaccine,2020

3. Data extraction and management in networks of observational health care databases for scientific research: a comparison of EU-ADR, OMOP, Mini-Sentinel and MATRICE strategies;Gini;EGEMS (Washington, DC),2016

4. Harmonization process for the identification of medical events in eight European healthcare databases: the experience from the EU-ADR project;Avillach;J Am Med Inform Assoc,2013

5. Misclassification in administrative claims data: quantifying the impact on treatment effect estimates;Funk;Curr Epidemiol Rep,2014

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