Evidence map›Paper›PMID 31329615›Full record

ArticlePloS one2019

Intraclass correlation - A discussion and demonstration of basic features.

David Liljequist, Britt Elfving, Kirsti Skavberg Roaldsen

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 418 papers.

0numbers the graph read from it
0cells of the map it votes in
418citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

418 citing papers in PubMed.

  1. Trial
  2. Effect of integrated medicines management on quality of discharge medication information-a secondary endpoint in a randomized controlled trial.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024
    Trial
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  4. Invariant Texture Features to Gray Level Discretization.Journal of imaging informatics in medicine · 2026
    Article
  5. Article
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  7. Article
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  9. Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Repeatability of SimultaneousNMR in biomedicine · 2026
    Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Article

358 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

David LiljequistDepartment of Physics, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-7790-4863
Britt ElfvingDepartment of Neurobiology, Care Science and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden.
Kirsti Skavberg RoaldsenDepartment of Neurobiology, Care Science and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A re-analysis of intraclass correlation (ICC) theory is presented together with Monte Carlo simulations of ICC probability distributions. A partly revised and simplified theory of the single-score ICC is obtained, together with an alternative and simple recipe for its use in reliability studies. Our main, practical conclusion is that in the analysis of a reliability study it is neither necessary nor convenient to start from an initial choice of a specified statistical model. Rather, one may impartially use all three single-score ICC formulas. A near equality of the three ICC values indicates the absence of bias (systematic error), in which case the classical (one-way random) ICC may be used. A consistency ICC larger than absolute agreement ICC indicates the presence of non-negligible bias; if so, classical ICC is invalid and misleading. An F-test may be used to confirm whether biases are present. From the resulting model (without or with bias) variances and confidence intervals may then be calculated. In presence of bias, both absolute agreement ICC and consistency ICC should be reported, since they give different and complementary information about the reliability of the method. A clinical example with data from the literature is given.

Indexed as

Correlation of DataSoftwareData Interpretation, StatisticalElectromyographyHumansMonte Carlo Method

Identifiers

PMID31329615
PMCPMC6645485

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.