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Negative variance components and intercept‐slope correlations greater than one in magnitude: How do such “non‐regular” random intercept and slope models arise, and what should be done when they do?

Overview of attention for article published in Statistics in Medicine, May 2024
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Title
Negative variance components and intercept‐slope correlations greater than one in magnitude: How do such “non‐regular” random intercept and slope models arise, and what should be done when they do?
Published in
Statistics in Medicine, May 2024
DOI 10.1002/sim.10070
Pubmed ID
Authors

Helen Bridge, Katy E. Morgan, Chris Frost

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 May 2024.
All research outputs
#23,183,846
of 25,839,971 outputs
Outputs from Statistics in Medicine
#3,704
of 4,133 outputs
Outputs of similar age
#122,411
of 154,103 outputs
Outputs of similar age from Statistics in Medicine
#13
of 13 outputs
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So far Altmetric has tracked 4,133 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.