Data for: Statistical Modeling with Litter as a Random Effect in Mixed Models to Manage “Intralitter Likeness”

Published: 4 Jan 2020 | Version 1 | DOI: 10.17632/bwptvj2cmz.1
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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:

Statistical modeling with litter as a random effect in mixed models to manage “intralitter likeness”

Published in: Neurotoxicology and Teratology

Latest version

  • Version 1

    2020-01-04

    Published: 2020-01-04

    DOI: 10.17632/bwptvj2cmz.1

    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

Statistics

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Categories

Statistics, Neurotoxicology, Hierarchical Modeling, Developmental Neurotoxicology, Methods Development

Licence

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