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Differential recall bias and spurious associations in case/control studies
1Department of Statistics, University College, Cork, Ireland.
Statistics in Medicine
|December 15, 1996
Summary
Differential recall bias can skew case/control study results. This study adjusts analysis to account for biased exposure data, showing how modest bias can negate significant findings, like the lung cancer and environmental tobacco smoke association.
Area of Science:
- Epidemiology
- Biostatistics
Background:
- Case/control studies assess disease-risk factor associations.
- Errors in exposure data (E*) can distort findings.
- Differential recall bias underestimates control exposure and overestimates case exposure.
Purpose of the Study:
- To examine the impact of differential recall bias on case/control study inferences.
- To develop methods for adjusting standard inferential techniques for biased exposure data.
- To quantify the extent of bias needed to alter study conclusions.
Main Methods:
- Adjusting standard inferential techniques for differential recall bias.
- Sensitivity analysis to determine the impact of bias on statistical significance.
- Application to a study on lung cancer and environmental tobacco smoke (ETS).
Main Results:
- A significant log-odds ratio (0.23, P < 0.02) for lung cancer and ETS was found using recorded exposure.
- A modest degree of differential recall bias (e.g., 3.8% misreporting in cases and controls) rendered the association non-significant (log-odds ratio 0.07, P = 0.49).
Conclusions:
- Differential recall bias can lead to spurious associations or mask true associations.
- Adjusted analytical methods are crucial for assessing the robustness of findings to exposure misclassification.
- Investigators must consider differential recall bias in validation studies of exposure assessment.