Instrumental variable analysis in the context of dichotomous outcome and exposure with a numerical experiment in pharmacoepidemiology

Instrumental variable analysis in the context of dichotomous outcome and exposure with a numerical experiment in pharmacoepidemiology

Abstract Background In pharmacoepidemiology, the prescription preference-based instrumental variables (IV) are often used with linear models to solve the endogeneity due to unobserved confounders even when the outcome and the endogenous treatment are dichotomous variables. Using this instrumental va...

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Bibliographic Details
Main Authors: Babagnidé François Koladjo, Sylvie Escolano, Pascale Tubert-Bitter
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Medical Research Methodology
Subjects:
Instrumental variable
Nonlinear least squares
Logistic regression
Physician’s prescription preference
Pharmacoepidemiology
Observational studies
Online Access:http://link.springer.com/article/10.1186/s12874-018-0513-y

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http://link.springer.com/article/10.1186/s12874-018-0513-y

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