Evaluation of incidence rates in pre-clinical studies using a williams-type procedure

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dc.identifier.uri http://dx.doi.org/10.15488/2676
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/2702
dc.contributor.author Hothorn, Ludwig A.
dc.contributor.author Sill, Martin
dc.contributor.author Schaarschmidt, Frank
dc.date.accessioned 2018-01-29T12:57:25Z
dc.date.available 2018-01-29T12:57:25Z
dc.date.issued 2010
dc.identifier.citation Hothorn, L.A.; Sill, M.; Schaarschmidt, F.: Evaluation of incidence rates in pre-clinical studies using a williams-type procedure. In: International Journal of Biostatistics 6 (2010), Nr. 1, 15. DOI: https://doi.org/10.2202/1557-4679.1180
dc.description.abstract The analysis of dose-response relationships is a common problem in pre-clinical studies. For example, proportions such as mortality rates and histopathological findings are of particular interest in repeated toxicity studies. Commonly applied designs consist of an untreated control group and several, possibly unequally spaced, dosage groups. The Williams test can be formulated as a multiple contrast test and is a powerful option to evaluate such data. In this paper, we consider simultaneous inference for Williams-type multiple contrasts when the response variable is binomial and sample sizes are only moderate. Approximate simultaneous confidence limits can be constructed using the quantiles of a multivariate normal distribution taking the correlation into account. Alternatively, multiplicity-adjusted p-values can be calculated as well. A simulation study shows that a simple correction based on adding pseudo observations leads to acceptable performance for moderate sample sizes, such as 40 per group. In addition, the calculation of adjusted p-values and approximate power is presented. Finally, the proposed methods are applied to example data from two toxicological studies eng
dc.description.abstract the methods are available in an R-package. © 2010 The Berkeley Electronic Press. All rights reserved. eng
dc.language.iso eng
dc.publisher Berlin : De Gruyter
dc.relation.ispartofseries International Journal of Biostatistics 6 (2010), Nr. 1
dc.rights Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
dc.subject Binomial eng
dc.subject Ordered proportions eng
dc.subject Simultaneous confidence intervals eng
dc.subject Toxicology eng
dc.subject nonylphenol eng
dc.subject contrast medium eng
dc.subject diagnostic agent eng
dc.subject animal experiment eng
dc.subject article eng
dc.subject binomial distribution eng
dc.subject clinical study eng
dc.subject confidence interval eng
dc.subject controlled study eng
dc.subject correlation analysis eng
dc.subject incidence eng
dc.subject male eng
dc.subject mouse eng
dc.subject nonhuman eng
dc.subject performance eng
dc.subject rat eng
dc.subject response variable eng
dc.subject sample size eng
dc.subject simulation eng
dc.subject statistical analysis eng
dc.subject toxicology eng
dc.subject williams type multiple contrast eng
dc.subject animal eng
dc.subject biometry eng
dc.subject carcinogen testing eng
dc.subject comparative study eng
dc.subject disease model eng
dc.subject dose response eng
dc.subject evaluation eng
dc.subject incidence eng
dc.subject methodology eng
dc.subject multivariate analysis eng
dc.subject statistical analysis eng
dc.subject statistics eng
dc.subject Animals eng
dc.subject Biometry eng
dc.subject Carcinogenicity Tests eng
dc.subject Contrast Media eng
dc.subject Data Interpretation, Statistical eng
dc.subject Disease Models, Animal eng
dc.subject Dose-Response Relationship, Drug eng
dc.subject Evaluation Studies as Topic eng
dc.subject Incidence eng
dc.subject Multivariate Analysis eng
dc.subject Toxicology eng
dc.subject.ddc 510 | Mathematik ger
dc.subject.ddc 530 | Physik ger
dc.subject.ddc 570 | Biowissenschaften, Biologie ger
dc.title Evaluation of incidence rates in pre-clinical studies using a williams-type procedure
dc.type article
dc.type Text
dc.relation.essn 1557-4679
dc.relation.doi https://doi.org/10.2202/1557-4679.1180
dc.bibliographicCitation.issue 1
dc.bibliographicCitation.volume 6
dc.bibliographicCitation.firstPage 15
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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