Immortal time bias in critical care research: Application of time-varying Cox regression for observational cohort studies*

Abstract

Studies using a time-fixed analytic approach to understand relationships between exposures and clinical outcomes can result in considerable bias when the variables overlap temporally in occurrence. Those conducting such studies, and clinicians reading them, should ensure that time-varying exposures are correctly analyzed to avoid biased conclusions.