Accurate confidence limits for stratified clinical trials
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Updated: May 12, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
1Melbourne Business School, University of Melbourne, Carlton, 3053, Australia. c.lloyd@mbs.edu
Abstract:
For stratified 2 × 2 tables, standard approximate confidence limits can perform poorly from a strict frequentist perspective, even for moderate-sized samples, yet they are routinely used. In this paper, I show how to use importance sampling to compute highly accurate limits in reasonable time. The methodology is very general and simple to implement, and orders of magnitude are faster than existing alternatives.
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