When neuroscience met clinical pathology: partitioning experimental variation to aid data interpretation in neuroscience

TY - JOUR

T1 - When neuroscience met clinical pathology

T2 - partitioning experimental variation to aid data interpretation in neuroscience

AU - Jeffery, Nick D

AU - Bate, Simon T

AU - Safayi, Sina

AU - Howard, Matt

AU - Moon, Lawrence

AU - Jeffery, Unity

N1 - This article is protected by copyright. All rights reserved.

PY - 2018/1/29

Y1 - 2018/1/29

N2 - In animal experiments, neuroscientists typically assess the effectiveness of interventions by comparing the average response of groups of treated and untreated animals. While providing useful insights, focusing only on group effects risks overemphasis of small, statistically significant but physiologically unimportant differences. Such differences can be created by analytical variability or physiological within-individual variation, especially if the number of animals in each group is small enough that one or two outlier values can have considerable impact on the summary measures for the group. This article is protected by copyright. All rights reserved.

AB - In animal experiments, neuroscientists typically assess the effectiveness of interventions by comparing the average response of groups of treated and untreated animals. While providing useful insights, focusing only on group effects risks overemphasis of small, statistically significant but physiologically unimportant differences. Such differences can be created by analytical variability or physiological within-individual variation, especially if the number of animals in each group is small enough that one or two outlier values can have considerable impact on the summary measures for the group. This article is protected by copyright. All rights reserved.

KW - Journal Article

U2 - 10.1111/ejn.13847

DO - 10.1111/ejn.13847

M3 - Article

C2 - 29380453

SN - 0953-816X

JO - European Journal of Neuroscience

JF - European Journal of Neuroscience

ER -