The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A concordance correlation coefficient to evaluate reproducibility.
Abstract
A new reproducibility index is developed and studied. This index is the correlation between the two readings that fall on the 45 degree line through the origin. It is simple to use and possesses desirable properties. The statistical properties of this estimate can be satisfactorily evaluated using an inverse hyperbolic tangent transformation. A Monte Carlo experiment with 5,000 runs was performed to confirm the estimate's validity. An application using actual data is given.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“and all parameters used for the proposition and cross-validation of the model confirmed their validity for the studied population (15, 37–39, 57)”
From Development and Cross-Validation of a Predictive Equation for Fat-Free Mass in Brazilian Adolescents by Bioelectrical Impedance (2022) · cites this paper as [38]
In the citing paper
“Furthermore, we suggest using explicit maximisation of the concordance correlation coefficient ( ρ c ) [9] in our model and show that this improves performance in terms of emotion prediction compared to optimising the mean square error objective, which is traditionally used.”
From End-to-End Multimodal Emotion Recognition using Deep Neural Networks (2017) · cites this paper as [9]
In the citing paper
“showing that Cohen's quadratically weighted kappa coincides with Lin's bivariate concordance correlation coefficient (Lin, 1989).”
From Quadratically Weighted Agreement Coefficients: Interpretations and Connections (2026) · cites this paper as Lin, 1989
In the citing paper
“If available, test-retest data are also extremely helpful, as they can help prioritize features on the basis of their reproducibility (51,52).”
From Radiomics: Images Are More than Pictures, They Are Data (2016) · cites this paper as [51]
Citations
Cites
Bootstrap methods: another look at the jackknife
Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602
Approximation Theorems of Mathematical Statistics
Serfling, R. J. (1980) · Wiley series in probability and statistics · doi:10.1002/9780470316481 · Cited by 5,908
Cited by
Sorted by citations
Radiomics: Images Are More than Pictures, They Are Data
Gillies, R. J., Kinahan, P. E., & Hricak, H. (2016) · Radiology · doi:10.1148/radiol.2015151169 · Cited by 8,421
Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project
Conroy, R. (2003) · European Heart Journal · doi:10.1016/s0195-668x(03)00114-3 · Cited by 5,290
Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability
Lombard, M., Snyder-Duch, J., & Bracken, C. C. (2002) · Human Communication Research · doi:10.1111/j.1468-2958.2002.tb00826.x · Cited by 3,068
Within-subject template estimation for unbiased longitudinal image analysis
Reuter, M., Schmansky, N. J., Rosas, H. D., & Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.084 · Cited by 2,356
Cognitive and Behavioral Outcomes of School-Aged Children Who Were Born Preterm: A Meta-analysis
Bhutta, A. T., Cleves, M. A., Casey, P. H., Cradock, M. M., & Anand, K. J. S. (2002) · JAMA · doi:10.1001/jama.288.6.728 · Cited by 2,392
Metadata
- Authors
- Lin, L. I.-K.
- Affiliations
- Baxter (United States) (US)
- Corresponding author
- Lin, Lawrence I-Kuei
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1989-03
- Volume
- 45
- Issue
- 1
- Pages
- 255
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2313339984
- Cited by
- 8,785
- References
- 2
- Citations by year
- 2026: 587 · 2025: 558 · 2024: 561 · 2023: 564 · 2022: 628 · 2021: 626 · 2020: 586 · 2019: 539 · 2018: 467 · 2017: 414 · 2016: 405 · 2015: 384 · 2014: 337 · 2013: 280 · 2012: 277
- FWCI
- 8.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biometrics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Multidisciplinary Science and Engineering Research
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- concordance correlation coefficient, reproducibility, measurement error, reproducibility index
- MeSH terms
- Analysis of Variance, Computer Simulation, Monte Carlo Method, Probability, Reproducibility of Results
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review