Data for: Statistical Modeling with Litter as a Random Effect in Mixed Models to Manage “Intralitter Likeness”
Description of this data
The data files here included are simulated data, the ranges for which were based on data from studies of C57BL6J mice, previously analyzed and published. The files include one data set of N = 180 from 30 litters, 3 treatment groups, 10 litters per treatment, 6 mice per litter, with equal numbers of males (n = 3) and females (n = 3) per litter. Also provided are 4 data sets of N = 60 each, that were drawn from the larger data set of N = 180, and which include 1 "representative" male and 1 "representative" female per litter. Each data set includes five variables: mouse ID, litter, sex, group, and body weight at post-natal day 21.
*These datasets were created solely for the purpose of demonstrating differences in statistical modeling when litter clusters complicate data analysis. Please see complete manuscript for a full discussion of the topic.
Experiment data files
This data is associated with the following publication:
Cite this dataset
Sobin, Christina; Golub, Mari (2020), “Data for: Statistical Modeling with Litter as a Random Effect in Mixed Models to Manage “Intralitter Likeness””, Mendeley Data, v1 http://dx.doi.org/10.17632/bwptvj2cmz.1
The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.