Addressing the issue of bias in observational studies: Using instrumental variables and a quasi-randomization trial in an ESME research project.
<h4>Purpose</h4>Observational studies using routinely collected data are faced with a number of potential shortcomings that can bias their results. Many methods rely on controlling for measured and unmeasured confounders. In this work, we investigate the use of instrumental variables (IV...
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Auteurs principaux: | Monia Ezzalfani, Raphaël Porcher, Alexia Savignoni, Suzette Delaloge, Thomas Filleron, Mathieu Robain, David Pérol, ESME Group |
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Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2021
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Accès en ligne: | https://doaj.org/article/f84c61bc31f24e18be5b443d6772f547 |
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