Emulation Differences vs. Biases When Calibrating Real-World Evidence Findings Against Randomized Controlled Trials

Clin Pharmacol Ther. 2020 Apr;107(4):735-737. doi: 10.1002/cpt.1793. Epub 2020 Feb 12.

Authors

Jessica M Franklin¹, Robert J Glynn¹, Samy Suissa², Sebastian Schneeweiss¹

Affiliations

¹ Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
² Departments of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada.

No abstract available

Publication types

Comparative Study
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.

MeSH terms

Bias
Calibration
Data Science / methods*
Humans
Randomized Controlled Trials as Topic / methods*

Grants and funding

R01 HL141505/HL/NHLBI NIH HHS/United States