An introduction to instrumental variables for epidemiologists

Abstract

Instrumental-variable (IV) methods were invented over 70 years ago, but remain uncommon in epidemiology. Over the past decade or so, non-parametric versions of IV methods have appeared that connect IV methods to causal and measurement-error models important in epidemiological applications. This paper provides an introduction to those developments, illustrated by an application of IV methods to non-parametric adjustment for non-compliance in randomized trials.

Biometry, causal models, compliance, confounding, econometrics, epidemiological methods, instrumental variables, measurement error, misclassification, regression, regression calibration, statistics