Conducting prospective sequential surveillance in real-world dynamic distributed databases.

Autor: Maro JC; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA., Eworuke E; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA., Hou L; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA., Welch EC; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA., Goulding MR; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA., Izem R; Office of Biostatistics and Study Methodology, Department of Pediatrics, George Washington University and Children's National Research Institute, Washington, DC, USA., Lee JY; Kaiser Permanente Northern California, Oakland, CA, USA., Toh S; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA., Fireman B; Kaiser Permanente Northern California, Oakland, CA, USA., Nguyen MD; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Jazyk: angličtina
Zdroj: Pharmacoepidemiology and drug safety [Pharmacoepidemiol Drug Saf] 2020 Oct; Vol. 29 (10), pp. 1331-1335. Date of Electronic Publication: 2020 May 25.
DOI: 10.1002/pds.5002
Databáze: MEDLINE