Simultaneous confidence bands for log-logistic regression with applications in risk assessment

Kerns, LX

HERO ID

12033144

Reference Type

Journal Article

Year

2017

HERO ID 12033144
In Press No
Year 2017
Title Simultaneous confidence bands for log-logistic regression with applications in risk assessment
Authors Kerns, LX
Journal Biometrical Journal
Volume 59
Issue 3
Page Numbers 420-429
Abstract In risk assessment, it is often desired to make inferences on the low dose levels at which a specific benchmark risk is attained. Applications of simultaneous hyperbolic confidence bands for low-dose risk estimation with quantal data under different dose-response models (multistage, Abbott-adjusted Weibull, and Abbott-adjusted log-logistic models) have appeared in the literature. The use of simultaneous three-segment bands under the multistage model has also been proposed recently. In this article, we present explicit formulas for constructing asymptotic one-sided simultaneous hyperbolic and three-segment bands for the simple log-logistic regression model. We use the simultaneous construction to estimate upper hyperbolic and three-segment confidence bands on extra risk and to obtain lower limits on the benchmark dose by inverting the upper bands on risk under the Abbott-adjusted log-logistic model. Monte Carlo simulations evaluate the characteristics of the simultaneous limits. An example is given to illustrate the use of the proposed methods and to compare the two types of simultaneous limits at very low dose levels.
Doi 10.1002/bimj.201600164
Url https://www.ncbi.nlm.nih.gov/pubmed/28128855
Is Certified Translation No
Dupe Override No
Is Public Yes
Keyword Computer Simulation; Dose-Response Relationship, Drug; Logistic Models; Monte Carlo Method; Risk Assessment/methods; Abbott-adjusted log-logistic model; Benchmark dose; Risk assessment; Simultaneous hyperbolic confidence bands; Simultaneous three-segment confidence bands