Resampling dependent concordance correlation coefficients

Journal of Biopharmaceutical Statistics

Volumn 17, Issue 4, 2007, Pages 685-696

  Williamson, John M ^a   Crawford, Sara B ^a   Lin, Hung Mo ^b  

^a CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

^b PENN STATE COLLEGE OF MEDICINE   (United States)

Author keywords

Agreement; Bootstrap; Concordance correlation coefficient; Correlated data; Permutation test; Resampling

Indexed keywords

ARTICLE; BOOTSTRAPPING; CAROTID ARTERY OBSTRUCTION; CORRELATION COEFFICIENT; PRIORITY JOURNAL; SCREENING TEST; STATISTICAL SIGNIFICANCE;

ALGORITHMS; ANALYSIS OF VARIANCE; BIOMETRY; CAROTID STENOSIS; COMPUTER SIMULATION; CONFIDENCE INTERVALS; DIAGNOSTIC TECHNIQUES AND PROCEDURES; HUMANS; MAGNETIC RESONANCE ANGIOGRAPHY; MODELS, STATISTICAL; OBSERVER VARIATION; REPRODUCIBILITY OF RESULTS; STATISTICAL DISTRIBUTIONS;

EID: 34347407546     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543400701329471     Document Type: Article

References (35)

1. Atkinson, G., Nevill, A. (1997). Comment on the use of concordance correlation to assess the agreement between two variables. Biometrics 53:775-777.
2. Barnhart, H. X., Williamson, J. M. (2001). Modeling concordance correlation via GEE to evaluate reproducibility. Biometrics 57:931-940.
3. Barnhart, H. X., Haber, M., Song, J. L. (2002). Overall concordance correlation coefficient for evaluating agreement among multiple observers. Biometrics 58:1020-1027.
4. Bland, J. M., Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1(8476):307-310.
5. Carrasco, J. L., Jover, L. (2003). Estimating the generalized concordance correlation coefficient through variance components. Biometrics 59:849-858.
6. Chinchilli, V. M., Martel, J. K., Kumanyika, S., Lloyd, T. (1996). A weighted concordance correlation coefficient for repeated measurement designs. Biometrics 52:341-353.
7. Choudhary, P. K., Nagaraja, H. N. (2005a). Selecting the instrument closest to a gold standard. Journal of Statistical Planning and Inference 129:229-237.
8. Choudhary, P. K., Nagaraja, H. N. (2005b). A two-stage procedure for selection and assessment of agreement of the best instrument with a gold standard. Sequential Analysis 24:237-257.
9. Choudhary, P. K., Nagaraja, H. N. (2007). Tests for assessment of agreement using probability criteria. Journal of Statistical Planning and Inference 137:279-290.
10. Efron, B. (1979). Bootstrap methods: Another look at the jackknife. Ann. Stat. 7:1-26.
11. Efron, B., Tibshirani, R. (1993). An Introduction to the Bootstrap. New York: Chapman and Hall.
12. Fay, M. P. (2005). Random marginal agreement coefficients: rethinking the adjustment for chance when measuring agreement. Biostatistics 6:171-180.
13. Fisher, R. A. (1935). Design of Experiments. New York: Hafner.
14. Fleiss, J. L. (1986). The Design and Analysis of Clinical Experiments. New York: Wiley.
15. Good, P. I. (2000). Permutation Tests. 2nd ed. New York: Springer Verlag.
16. Good, P. I. (2001). Resampling Methods: A Practical Guide to Data Analysis. Boston: Birkhauser.
17. Hutson, A. D., Wilson, D. C., Geiser, E. A. (1998). Measuring relative agreement: Echocardiographer versus computer. JABES 3:163-174.
18. King, T. S., Chinchilli, V. M. (2001a). Robust estimators of the concordance correlation coefficient. J. Biopharm. Stat. 11:83-105.
19. King, T. S., Chinchilli, V. M. (2001b). A generalized concordance correlation coefficient for continuous and categorical data. Stat. Med. 20:2131-2147.
20. Lee, J., Koh, D., Ong, C. N. (1989). Statistical evaluation of agreement between two methods for measuring a quantitative variable. Comput. Biol. Med. 19:61-70.
21. Lin, L. I.-K. (1989). A concordance correlation coefficient to evaluate reproducibility. Biometrics 45:255-268.
22. Lin, L. I.-K. (1992). Assay validation using the concordance correlation coefficient. Biometrics 48:599-604.
23. Lin, L. I.-K. (2000). Total deviation index for measuring individual agreement with applications in laboratory performance and bioequivalence. Stat. Med. 19:255-270
24. Lin, L. I.-K., Chinchilli, V. M. (1997). Rejoinder to the letter to the editor from Atkinson and Nevill. Biometrics 53:777-778
25. Lin, L. I.-K., Hedayat, A. S., Sinha, B., Yang, M. (2002). Statistical methods in assessing agreement: Models, issues, and tools. JASA 97:257-270.
26. Liu, X. H., Du, Y. L., Teresi, J., Hasin, D. S. (2005). Concordance correlation in the measurements of time to event. Stat. Med. 24:1409-1420.
27. McKenzie, D. P., MacKinnon, A. J., Peladeau, N., Onghena, P., Bruce, P. C., Clarke, D. M., Harrigan, S., McGorry, P. D. (1996). Comparing correlated kappas by resampling: Is one level of agreement significantly different from another? J. Psychiat. Res. 30(6):483-492.
28. Noreen, E. W. (1989). Computer-Intensive Methods for Testing Hypotheses: An Introduction. New York: Wiley.
29. Onghena, P., May, R. B. (1995). Pitfalls in computing and interpreting randomization test p-values: a commentary on Chen and Dunlap. Behavior Research Methods, Instruments and Computers 27:408-411.
30. Pesarin, F. (2001). Multivariate Permutation Tests: With Applications in Biostatistics. West Sussex: England: John Wiley & Sons.
31. Pitman, E. J. G. (1937). Significance tests which may be applied to samples from any population. Royal Statistical Society Supplement 4:119-130, 225-232.
32. Pitman, E. J. G. (1938). Significance tests which may be applied to samples from any population. Part III. The analysis of variance test. Biometrika 29:322-335.
33. Quan, H., Shih, W. J. (1996). Assessing reproducibility by the within-subject coefficient of variation with random effects models. Biometrics 52:1195-1203.
34. Quiroz, J. (2005). Assessment of equivalence using a concordance correlation coefficient in a repeated measurements design. J. Biopharm. Stat. 15:913-928.
35. SAS Institute, Inc. (1995). SAS/IML Software: Changes and Enhancements Through Release 6.11. Cary, NC: SAS Institute, Inc.