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Inverse Probability Weights for Quasicontinuous Ordinal Exposures With a Binary Outcome: Method Comparison and Case
American Journal of Epidemiology
|April 17, 2023
Summary
For quasicontinuous exposures, quantile binning (QB) and cumulative probability models (CPM) offer the lowest mean squared error, outperforming other inverse probability weighting (IPW) methods. These findings improve confounding control in complex observational studies.
Area of Science:
- Epidemiology
- Biostatistics
- Health Services Research
Background:
- Inverse probability weighting (IPW) is crucial for confounding control in observational studies.
- Existing IPW methods for continuous exposures may fail with quasicontinuous exposures due to irregular distributions.
- Novel methods are needed to address confounding in quasicontinuous exposure settings.
Purpose of the Study:
- To evaluate the performance of existing and novel inverse probability weighting (IPW) methods for quasicontinuous exposures.
- To compare ordinary least squares (OLS), covariate balancing generalized propensity scores (CBGPS), nonparametric CBGPS (npCBGPS), quantile binning (QB), and a cumulative probability model (CPM).
- To assess IPW stability, covariate balance, bias, and mean squared error in quasicontinuous exposure scenarios.
Main Methods:
- Simulations of 3,000 datasets with 6 quasicontinuous exposures varying in skewness and granularity.
- Assessment of OLS, CBGPS, npCBGPS, QB, and CPM methods.
- Application of selected IPW methods with missing-data techniques to a real-world clinical trial dataset.
Main Results:
- Covariate balancing generalized propensity scores (CBGPS) and nonparametric CBGPS (npCBGPS) demonstrated excellent covariate balance.
- npCBGPS showed the least bias but the highest variability.
- Quantile binning (QB) and cumulative probability models (CPM) yielded the lowest mean squared error, especially for marginally skewed exposures.
Conclusions:
- Quantile binning (QB) and cumulative probability models (CPM) are recommended for handling quasicontinuous exposures due to their superior performance in reducing mean squared error.
- The study successfully applied IPW methods to assess the impact of session attendance in an HIV-affected pregnant couples' intervention on postpartum contraceptive uptake.
- These findings enhance the toolkit for causal inference in observational research with complex exposure data.
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