Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/270
Title: | Robust benchmark dose determination based on profile score methods | Authors: | CLAESKENS, Gerda AERTS, Marc MOLENBERGHS, Geert Ryan, Louise |
Issue Date: | 2002 | Publisher: | KLUWER | Source: | Environmental and Ecological Statistics, 9(4). p. 357-377 | Abstract: | We investigate several methods commonly used to obtain a benchmark dose and show that those based on full likelihood or profile likelihood methods might have severe shortcomings. We propose two new profile likelihood-based approaches which overcome these problems. Anoher contribution is the extension of the benchmark dose determination to non full likelihood models, such as quasi-likelihood, generalized estimating equations, which are widely used in settings such as developmental toxicity where clustered data are encountered. This widening of the scope of application is possible by the use of (robust) score statistics. Benchmark dose methods are applied to a data set from a developmental toxicity study. | Keywords: | clusterd binary data; generalized estimating equations; likelihood ratio; profile likelihood; score statistic; toxicology | Document URI: | http://hdl.handle.net/1942/270 | ISSN: | 1352-8505 | e-ISSN: | 1573-3009 | DOI: | 10.1023/A:1020962622829 | ISI #: | 000179090800003 | Rights: | (C) 2002 Kluwer Academic Publishing | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2003 |
Appears in Collections: | Research publications |
Show full item record
SCOPUSTM
Citations
2
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
1
checked on Oct 14, 2024
Page view(s)
18
checked on Sep 7, 2022
Download(s)
10
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.