Premium
A Comparison of Methods of Benchmark‐Dose Estimation for Continuous Response Data
Author(s) -
West R. Webster,
Kodell Ralph L.
Publication year - 1999
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.1999.tb00420.x
Subject(s) - equivalence (formal languages) , monte carlo method , statistics , confidence interval , benchmark (surveying) , computer science , probit , risk assessment , probit model , data mining , mathematics , geodesy , discrete mathematics , geography , computer security
Methods of quantitative risk assessment for toxic responses that are measured on a continuous scale are not well established. Although risk‐assessment procedures that attempt to utilize the quantitative information in such data have been proposed, there is no general agreement that these procedures are appreciably more efficient than common quantal dose‐response procedures that operate on dichotomized continuous data. This paper points out an equivalence between the dose‐response models of the nonquantal approach of Kodell and West (1) ) and a quantal probit procedure, and provides results from a Monte Carlo simulation study to compare coverage probabilities of statistical lower confidence limits on dose corresponding to specified additional risk based on applying the two procedures to continuous data from a dose‐response experiment. The nonquantal approach is shown to be superior, in terms of both statistical validity and statistical efficiency.