mice: p-values of 29 Behavioural Measures in Two Studies

In radjust: Replicability Adjusted p-Values for Two Independent Studies with Multiple Endpoints

Description

In different laboratories, the comparison of behaviours of the same two strains of mice may lead to opposite conclusions that are both statistically significant. An explanation may be the different laboratory environment, i.e., personnel, equipment, or measurement techniques, affecting differently the study strains. This data set provides the p-values for testing the association of mice strain with 29 behavioural measures from five commonly used behavioural tests in two laboratories: the laboratory of H. Wurbel at the University of Giessen, and the laboratory of P. Gass at the Central Institute of Mental Health, Mannheim. The data table contains two-sided p-values. To transform all the two-sided p-values to one sided in the same direction, see the example in radjust_sym.

Usage

mice

Format

A data frame with 29 rows and 5 columns:

feature_name	char.	The name of the measure and the test, concatenated.
twosided_pv1	numeric	the two-sided p-value from study 1.
twosided_pv2	numeric	the two-sided p-value from study 2.
dir_is_left1	logical	whether the direction of the test statistic from study 1 is left.
dir_is_left2	logical	whether the direction of the test statistic from study 2 is right.

Source

Richter, S. Helene, et al. "Effect of population heterogenization on the reproducibility of mouse behavior: a multi-laboratory study." PLoS One 6.1 (2011): e16461.

References

Bogomolov, M. and Heller, R. (2018). Assessing replicability of findings across two studies of multiple features. Biometrika.

See Also

radjust_sym

radjust documentation built on May 2, 2019, 3:40 p.m.