APA (7th ed.) Citation

Hemingway, H., Feder, G. S., Fitzpatrick, N. K., Denaxas, S., Shah, A. D., & Timmis, A. D. (2017). Using nationwide ‘big data’ from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme. NIHR Journals Library.

Chicago Style (17th ed.) Citation

Hemingway, Harry, Gene S. Feder, Natalie K. Fitzpatrick, Spiros Denaxas, Anoop D. Shah, and Adam D. Timmis. Using Nationwide ‘big Data’ from Linked Electronic Health Records to Help Improve Outcomes in Cardiovascular Diseases: 33 Studies Using Methods from Epidemiology, Informatics, Economics and Social Science in the ClinicAl Disease Research Using LInked Bespoke Studies and Electronic Health Records (CALIBER) Programme. NIHR Journals Library, 2017.

MLA (8th ed.) Citation

Hemingway, Harry, et al. Using Nationwide ‘big Data’ from Linked Electronic Health Records to Help Improve Outcomes in Cardiovascular Diseases: 33 Studies Using Methods from Epidemiology, Informatics, Economics and Social Science in the ClinicAl Disease Research Using LInked Bespoke Studies and Electronic Health Records (CALIBER) Programme. NIHR Journals Library, 2017.