Akbari, A., Delanerolle, G., Williams, R., Stipancic, A., Byford, R., Forbes, A., . . . Lusignan, S. d. (2022). Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): The Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint). JMIR Formative Research. doi:10.2196/preprints.37821
Chicago Style CitationAkbari, Ashley, et al. "Methodological Issues for Using a Common Data Model (CDM) of COVID-19 Vaccine Uptake and Important Adverse Events of Interest (AEIs): The Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom Feasibility Study. (Preprint)." JMIR Formative Research 2022.
MLA CitationAkbari, Ashley, et al. "Methodological Issues for Using a Common Data Model (CDM) of COVID-19 Vaccine Uptake and Important Adverse Events of Interest (AEIs): The Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom Feasibility Study. (Preprint)." JMIR Formative Research 2022.