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The appropriateness of Bland-Altman’s approximate confidence intervals for limits of agreement

Overview of attention for article published in BMC Medical Research Methodology, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
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Title
The appropriateness of Bland-Altman’s approximate confidence intervals for limits of agreement
Published in
BMC Medical Research Methodology, May 2018
DOI 10.1186/s12874-018-0505-y
Pubmed ID
Authors

Gwowen Shieh

Abstract

Percentiles are widely used as reference limits for determining the relative magnitude and substantial importance of quantitative measurements. An important application is the advocated Bland-Altman limits of agreement. To contribute to the data analysis and design planning of reference limit or percentile research, the purpose of this paper is twofold. The first is to clarify the statistical features of interval estimation procedures for normal percentiles. The second goal is to provide sample size procedures for precise interval estimation of normal percentiles. The delineation demonstrates the theoretical connections between different pivotal quantities for obtaining exact confidence intervals. Moreover, the seemingly accurate approximate methods with equidistant from the principal estimators are shown to have undesirable confidence limits. It is found that the optimal sample size has a minimum for median or mean, and increases as the percentile approaches the extremes. The exact interval procedure should be used in preference to the approximate methods. Computer algorithms are presented to implement the suggested interval precision and sample size calculations for planning percentile research.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 30%
Other 5 11%
Professor 4 9%
Researcher 4 9%
Student > Master 4 9%
Other 5 11%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 11 25%
Nursing and Health Professions 4 9%
Engineering 3 7%
Computer Science 2 5%
Veterinary Science and Veterinary Medicine 1 2%
Other 8 18%
Unknown 15 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 30 May 2018.
All research outputs
#4,041,747
of 23,070,218 outputs
Outputs from BMC Medical Research Methodology
#644
of 2,033 outputs
Outputs of similar age
#79,023
of 330,078 outputs
Outputs of similar age from BMC Medical Research Methodology
#22
of 40 outputs
Altmetric has tracked 23,070,218 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,078 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.