Simulated data for: "Statistical Modeling with Litter as a Random Effect in Mixed Models to Manage “Intralitter Likeness”demonstration of including litter as a random effect
2019
- 204Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage204
- Views155
- Downloads49
Dataset Description
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.
Bibliographic Details
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