Refined clinical scoring in comparative EAE studies does not enhance the chance to observe statistically significant differences.

Tietz, Silvia; Zwahlen, Marcel; Haghayegh Jahromi, Neda; Baden, Pascale; Lazarevic, Ivana; Enzmann, Gaby; Engelhardt, Britta (2016). Refined clinical scoring in comparative EAE studies does not enhance the chance to observe statistically significant differences. European journal of immunology, 46(10), pp. 2481-2483. Wiley-VCH 10.1002/eji.201546272

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Considering the 3R rules of animal experimentation, we asked if refined scoring of experimental autoimmune encephalomyelitis (EAE) in mice improves documentation of clinical EAE allowing to perform a more powerful statistical analysis. Surprisingly, refined EAE scoring failed to improve statistical outcome comparing the overall disease courses between two groups of mice.

Item Type:	Journal Article (Original Article)
Division/Institute:	04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM) 04 Faculty of Medicine > Pre-clinic Human Medicine > Theodor Kocher Institute
Graduate School:	Graduate School for Cellular and Biomedical Sciences (GCB)
UniBE Contributor:	Tietz, Silvia Martina, Zwahlen, Marcel, Haghayegh Jahromi, Neda, Baden, Pascale, Lazarevic, Ivana, Enzmann, Gaby, Engelhardt, Britta
Subjects:	600 Technology > 610 Medicine & health 300 Social sciences, sociology & anthropology > 360 Social problems & social services
ISSN:	0014-2980
Publisher:	Wiley-VCH
Funders:	[4] Swiss National Science Foundation
Language:	English
Submitter:	Ursula Zingg-Zünd
Date Deposited:	16 Feb 2017 15:35
Last Modified:	02 Mar 2023 23:28
Publisher DOI:	10.1002/eji.201546272
PubMed ID:	27469626
Uncontrolled Keywords:	Area under the curve; Bland-Altman plots; Clinical scoring; Experimental autoimmune encephalomyelitis; Statistical analysis
BORIS DOI:	10.7892/boris.95355
URI:	https://boris.unibe.ch/id/eprint/95355

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Refined clinical scoring in comparative EAE studies does not enhance the chance to observe statistically significant differences.

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