gms | German Medical Science

65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)

06.09. - 09.09.2020, Berlin (online conference)

Statistical analysis of litter effects in rodent developmental toxicity data

Meeting Abstract

  • Christian Tobias Willenbockel - Bundesinstitut für Risikobewertung, Berlin, Germany
  • Christina August - Bundesinstitut für Risikobewertung, Berlin, Germany
  • Hans Mielke - Bundesinstitut für Risikobewertung, Berlin, Germany
  • Ralph Pirow - Bundesinstitut für Risikobewertung, Berlin, Germany

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS). Berlin, 06.-09.09.2020. Düsseldorf: German Medical Science GMS Publishing House; 2021. DocAbstr. 265

doi: 10.3205/20gmds110, urn:nbn:de:0183-20gmds1102

Veröffentlicht: 26. Februar 2021

© 2021 Willenbockel et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

The statistical analysis of reproductive toxicity studies with respect to possible developmental effects in the offspring of treated female rodents is challenging due to the possibility of (intra-)litter effects. Endpoints such as pup weight might be dependent not only on the treatment itself, but also on other parameters (e.g. litter size). Hence, there is the possibility of statistical dependence between the pups of the same litter. Possible (intra-)litter dependent effects are not appropriately considered (if at all) in widely used test guidelines which consider the dams, litters and pups as independent experimental units. The use of mixed-effects models, which combine e.g. litter effects as a random effect and treatment effects as fixed effects, has been proposed in the literature. Up to now, mixed-effects modelling is rarely used in a regulatory context for the statistical analysis of developmental effects in reproductive toxicity studies.

The process and application of suitable mixed-effects models to a reproductive toxicity study with oral administration (gavage) of perfluorohexanoic acid (PFHxA) in rodents will be discussed with respect to model selection, model specification, derivation of observed effect levels and model validation.

Results of this study will be compared with the statistical outcome from a published study, in which the litter effect was neglected.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.