Confidence bands for low-dose risk estimation with quantal response data
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Updated: Aug 26, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Obaid M Al-Saidy1, Walter W Piegorsch, R Webster West
1Department of Mathematics and Statistics, Sultan Qaboos University, Muscat, Oman.
Abstract:
We study the use of simultaneous confidence bands for low-dose risk estimation with quantal response data, and derive methods for estimating simultaneous upper confidence limits on predicted extra risk under a multistage model. By inverting the upper bands on extra risk, we obtain simultaneous lower bounds on the benchmark dose (BMD). Monte Carlo evaluations explore characteristics of the simultaneous limits under this setting, and a suite of actual data sets are used to compare existing methods for placing lower limits on the BMD.
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