1. Adaptive propensity score procedure improves matching in prospective observational trials.
- Author
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Weber D, Uhlmann L, Schönenberger S, and Kieser M
- Subjects
- Brain Ischemia therapy, Case-Control Studies, Conscious Sedation, Humans, Prospective Studies, Sample Size, Stroke therapy, Models, Statistical, Observational Studies as Topic statistics & numerical data, Propensity Score, Research Design
- Abstract
Background: Randomized controlled trials are the gold-standard for clinical trials. However, randomization is not always feasible. In this article we propose a prospective and adaptive matched case-control trial design assuming that a control group already exists., Methods: We propose and discuss an interim analysis step to estimate the matching rate using a resampling step followed by a sample size recalculation. The sample size recalculation is based on the observed mean resampling matching rate. We applied our approach in a simulation study and to a real data set to evaluate the characteristics of the proposed design and to compare the results to a naive approach., Results: The proposed design achieves at least 10% higher matching rate than the naive approach at final analysis, thus providing a better estimation of the true matching rate. A good choice for the interim analysis seems to be a fraction of around [Formula: see text] to [Formula: see text] of the control patients., Conclusion: The proposed resampling step in a prospective matched case-control trial design leads to an improved estimate of the final matching rate and, thus, to a gain in power of the approach due to sensible sample size recalculation.
- Published
- 2019
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