Tests for assessment of agreement using probability criteria

Journal of Statistical Planning and Inference

Volumn 137, Issue 1, 2007, Pages 279-290

  Choudhary, Pankaj K ^a   Nagaraja, H N ^b  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

Bootstrap; Concordance correlation; Coverage probability; Limits of agreement; Tolerance interval; Total deviation index

Indexed keywords

EID: 33748432820     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jspi.2005.11.009     Document Type: Article

References (16)

1. Bland J.M., and Altman D.G. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet i (1986) 307-310
2. Choudhary, P.K., 2006. A tolerance interval approach for assessment of agreement in method comparison studies with repeated measurements, submitted for publication.
3. Choudhary, P.K., Nagaraja, H.N., 2003. Assessing agreement using coverage probability. Technical Report 721. Ohio State University, Columbus, OH.
4. Choudhary, P.K., Ng, H.K.T., 2005. Assessment of agreement under non-standard conditions using regression models for mean and variance. Biometrics doi: 10.1111/j.1541-0420.2005.00422.x.
5. Efron B., and Tibshirani R.J. An Introduction to the Bootstrap (1993), Chapman & Hall/CRC, New York
6. Guttman I. Statistical tolerance regions. In: Kotz S., Johnson N.L., and Read C.B. (Eds). Encyclopedia of Statistical Sciences vol. 9 (1988), Wiley, New York 272-287
7. Hamilton D.C., and Lesperance M.L. A comparison of methods for univariate and multivariate acceptance sampling by variables. Technometrics 37 (1995) 329-339
8. Hamilton D.C., and Lesperance M.L. A comparison of estimators of the proportion nonconforming in univariate and multivariate normal samples. J. Statist. Comput. Simulations 59 (1997) 333-348
9. Hawkins D.M. Diagnostics for conformity of paired quantitative measurements. Statist. Med. 21 (2002) 1913-1935
10. Johnson, N.L., Kotz, S., Balakrishnan, N., 1995. Continuous Univariate Distributions, vol. 2, second ed. Wiley, New York.
11. Lin L.I. A concordance correlation coefficient to evaluate reproducibility. Biometrics 45 (1989) 255-268 (Corrections: 2000, 56, 324-325)
12. Lin L.I. Total deviation index for measuring individual agreement with applications in laboratory performance and bioequivalence. Statist. Med. 19 (2000) 255-270
13. Lin L.I., Hedayat A.S., Sinha B., and Yang M. Statistical methods in assessing agreement: models, issues and tools. J. Amer. Statist. Assoc. 97 (2002) 257-270
14. R Development Core Team, 2004. R: a language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. 〈http://www.R-project.org〉.
15. Tekten T., Onbasili A.O., Ceyhan C., Unal S., and Discigil B. Novel approach to measure myocardial performance index: pulsed-wave tissue Doppler echocardiography. Echocardiography 20 (2003) 503-510
16. Wang W., and Hwang J.T.G. A nearly unbiased test for individual bioequivalence problems using probability criteria. J. Statist. Plann. Inference 99 (2001) 41-58