Instrumental variable analysis to estimate treatment effects: a simulation study showing potential benefits of conditioning on hospital.

ABSTRACT:

Background

Instrumental variable (IV) analysis holds the potential to estimate treatment effects from observational data. IV analysis potentially circumvents unmeasured confounding but makes a number of assumptions, such as that the IV shares no common cause with the outcome. When using treatment preference as an instrument, a common cause, such as a preference regarding related treatments, may exist. We aimed to explore the validity and precision of a variant of IV analysis where we additionally adjust for the provider: adjusted IV analysis.

Methods

A treatment effect on an ordinal outcome was simulated (beta - 0.5 in logistic regression) for 15.000 patients, based on a large data set (the IMPACT data, n = 8799) using different scenarios including measured and unmeasured co

SUBMITTER: Ceyisakar IE 

PROVIDER: S-EPMC9036707 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature