Exposure misclassification in propensity score-based time-to-event data analysis
- 7 April 2021
- journal article
- research article
- Published by SAGE Publications in Statistical Methods in Medical Research
- Vol. 30 (5), 1347-1357
- https://doi.org/10.1177/0962280221998410
Abstract
In epidemiology, identifying the effect of exposure variables in relation to a time-to-event outcome is a classical research area of practical importance. Incorporating propensity score in the Cox regression model, as a measure to control for confounding, has certain advantages when outcome is rare. However, in situations involving exposure measured with moderate to substantial error, identifying the exposure effect using propensity score in Cox models remains a challenging yet unresolved problem. In this paper, we propose an estimating equation method to correct for the exposure misclassification-caused bias in the estimation of exposure-outcome associations. We also discuss the asymptotic properties and derive the asymptotic variances of the proposed estimators. We conduct a simulation study to evaluate the performance of the proposed estimators in various settings. As an illustration, we apply our method to correct for the misclassification-caused bias in estimating the association of PM2.5 level with lung cancer mortality using a nationwide prospective cohort, the Nurses’ Health Study. The proposed methodology can be applied using our user-friendly R program published online.Funding Information
- National Institutes of Health (R01ES026246)
- NIH (DP1ES025459)
This publication has 23 references indexed in Scilit:
- Exposure measurement error in PM2.5 health effects studies: A pooled analysis of eight personal exposure validation studiesEnvironmental Health, 2014
- Exposure to Particulate Air Pollution and Cognitive Decline in Older WomenArchives of Internal Medicine, 2012
- Intakes of Fruits, Vegetables, Vitamins A, C, and E, and Carotenoids and Risk of Renal Cell CancerCancer Epidemiology, Biomarkers & Prevention, 2006
- Indications for Propensity Scores and Review of their Use in PharmacoepidemiologyBasic & Clinical Pharmacology & Toxicology, 2006
- Propensity score methods gave similar results to traditional regression modeling in observational studies: a systematic reviewJournal of Clinical Epidemiology, 2005
- Performance evaluation of the active-flow personal DataRAM PM2.5 mass monitor (Thermo Anderson pDR-1200) designed for continuous personal exposure measurementsAtmospheric Environment, 2004
- Covariance and survivor function estimation using censored multivariate failure time dataBiometrika, 1992
- The central role of the propensity score in observational studies for causal effectsBiometrika, 1983
- Covariate measurement errors and parameter estimation in a failure time regression modelBiometrika, 1982
- A Large Sample Study of Cox's Regression ModelThe Annals of Statistics, 1981