Estimation using all available covariate information versus a fixed look-back window for dichotomous covariates

• Published in: Pharmacoepidemiology and drug safety Vol. 22; no. 5; pp. 542 - 550
• Main Authors: Brunelli, Steven M., Gagne, Joshua J., Huybrechts, Krista F., Wang, Shirley V., Patrick, Amanda R., Rothman, Kenneth J., Seeger, John D.
• Format: Journal Article
• Language: English
• Published: Chichester Blackwell Publishing Ltd 01.05.2013; Wiley; Wiley Subscription Services, Inc
• Subjects: Bias; Biological and medical sciences; Clinical trial. Drug monitoring; Cohort Studies; Confounding Factors (Epidemiology); confounding variables; Data analysis; data analysis, statistical; Data collection; Data Collection - methods; Data Interpretation, Statistical; Databases, Factual - statistics & numerical data; Epidemiologic Methods; Epidemiology; General pharmacology; Humans; Medical sciences; Outcome Assessment (Health Care) - methods; pharmacoepidemiology; Pharmacoepidemiology - methods; Pharmacology. Drug treatments; statistical; Time Factors; Data analysis; statistical; Bias; confounding variables; Methodological bias; Pharmacovigilance; Information; Confounding factor; Epidemiology; Comparative study; pharmacoepidemiology

ABSTRACT Purpose When using claims data, dichotomous covariates (C) are often assumed to be absent unless a claim for the condition is observed. When available historical data differs among subjects, investigators must choose between using all available historical data versus data from a fixed windo...