Using Omitted Variable Bias to Assess Uncertainty in the Estimation of an AIDS Education Treatment Effect
- 1 June 1997
- journal article
- Published by American Educational Research Association (AERA) in Journal of Educational and Behavioral Statistics
- Vol. 22 (2), 193-201
- https://doi.org/10.3102/10769986022002193
Abstract
In a comparison of a treatment group and a control group, a difference in results can correspond to the effect of the treatment; however, the difference might also be, at least in part, a reflection of pretreatment differences between the two populations. Covariance adjustment can reduce bias in the estimate of the treatment effect ( Cochran & Rubin, 1973 ); however, baseline group differences with respect to unobserved covariates which cannot be controlled can lead to hidden bias. This article presents a simple method which uses omitted variable bias to assess the uncertainty of the hidden bias by describing what scenarios regarding the unobserved covariate can lead to a given level of hidden bias. A comparison of a culturally sensitive AIDS video education program and a standard AIDS video education program is used as an illustration.Keywords
This publication has 12 references indexed in Scilit:
- Hodges-Lehmann Point Estimates of Treatment Effect in Observational StudiesJournal of the American Statistical Association, 1993
- Discussing Hidden Bias in Observational StudiesAnnals of Internal Medicine, 1991
- Sensitivity analysis for matching with multiple controlsBiometrika, 1988
- Sensitivity analysis for certain permutation inferences in matched observational studiesBiometrika, 1987
- Dropping out of High School in the United States: An Observational StudyJournal of Educational Statistics, 1986
- Bayesian Inference for Causal Effects: The Role of RandomizationThe Annals of Statistics, 1978
- Linear Statistical Inference and its ApplicationsWiley Series in Probability and Statistics, 1973
- Pertinency of an extraneous variableJournal of Chronic Diseases, 1967
- Use and Abuse of RegressionTechnometrics, 1966
- Spurious effects from an extraneous variableJournal of Chronic Diseases, 1966