Bootstrap bounds for “safe” doses in the multistage cancer dose-response model
- 1 January 1988
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Simulation and Computation
- Vol. 17 (1) , 153-175
- https://doi.org/10.1080/03610918808812654
Abstract
High-to-low-dose extrapolation is a very important part of the quantitative cancer risk assessments involved in the regulation of chemical exposures. Currently, these extrapolations usually involve the multistage model and a likelihood-ratio-based confidence limit procedure; however, both have some critical practical weaknesses. Four alternative confidence limit procedures based on recent bootstrapping research are investigated. Three procedures provide good coverage and lessen the tendency for the confidence limits to be several orders of magnitude from the quantity being bounded. In addition, these procedures can be readily applied to the emerging successors to the multistage model.Keywords
This publication has 3 references indexed in Scilit:
- Better Bootstrap Confidence IntervalsJournal of the American Statistical Association, 1987
- Bootstrap confidence intervals for a class of parametric problemsBiometrika, 1985
- Dose‐response models for time‐to‐response toxicity dataThe Canadian Journal of Statistics / La Revue Canadienne de Statistique, 1983