How to use linear regression and correlation in quantitative method comparison studies

International Journal of Clinical Practice

Volumn 62, Issue 4, 2008, Pages 529-538

  Twomey, P J ^a   Kroll, M H ^b  

^a IPSWICH HOSPITAL   (United Kingdom)

^b BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPARATIVE STUDY; CORRELATION COEFFICIENT; LINEAR REGRESSION ANALYSIS; METHODOLOGY; NONPARAMETRIC TEST; PARAMETRIC TEST; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; VALIDITY;

CLINICAL TRIALS AS TOPIC; DATA INTERPRETATION, STATISTICAL; MATCHED-PAIR ANALYSIS; REGRESSION ANALYSIS; STATISTICS AS TOPIC;

EID: 40449115732     PISSN: 13685031     EISSN: 17421241     Source Type: Journal    
DOI: 10.1111/j.1742-1241.2008.01709.x     Document Type: Article

References (32)

1. Altman DG, Bland JM. Commentary on quantifying agreement between two methods of measurement. Clin Chem 2002 48 : 801 2.
2. Altman DG, Bland JM. Measurement in medicine: the analysis of comparative studies. Statistician 1983 32 : 307 17.
3. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986 i : 307 10.
4. Westgard JO, Hunt MR. Use and interpretation of common statistical tests in method comparison studies. Clin Chem 1973 19 : 49 67.
5. Draper NR, Smith H. Applied Regression Analysis. New York : John Wiley and Sons, 1966, pp. 44 103.
6. Twomey PJ, Viljoen A, House IM, Reynolds TM, Wierzbicki AS. Problems with non-ceruloplasmin bound copper ('free copper' or copper index). Clin Chem 2005 51 : 1558 9.
7. Deming WE. Statistical Adjustment of Data. New York : Wiley, 1943 184.
8. Passing H, Bablok W. A new biometrical procedure for testing the equality of measurements from two different analytical methods. Application of linear regression procedures for method comparison studies in clinical chemistry, Part I. J Clin Chem Clin Biochem 1983 21 : 709 20.
9. Passing H, Bablok W. Comparison of several regression procedures for method comparison studies and determination of sample sizes. Application of linear regression procedures for method comparison studies in clinical chemistry, Part II. J Clin Chem Clin Biochem 1984 22 : 431 45.
10. Passing H, Bablok W, Bender R, Schneider B. A general regression procedure for method transformation. Application of linear regression procedures for method comparison studies in clinical chemistry, Part III. J Clin Chem Clin Biochem 1988 26 : 783 90.
11. Linnet K. Evaluation of regression procedures for methods comparison studies. Clin Chem 1993 39 : 424 32.
12. Cornbleet PJ, Gochman N. Incorrect least-square regression coefficients in method-comparison analysis. Clin Chem 1979 25 : 432 8.
13. National Committee for Clinical Laboratory Standards. Method Comparison and Bias Estimation Using Patient Samples. Approved guideline. NCCLS document EP9-A. Villanova, PA : NCCLS, 1995 15 : 1 36.
14. Wakkers PJ, Hellendoorn HB, Op De Weegh GJ, Heerspink W. Applications of statistics in clinical chemistry. A critical evaluation of regression lines. Clin Chim Acta 1975 64 : 173 84.
15. Henderson AR. Information for authors: is the advice regarding the reporting of residuals in regression analysis complete? Should Cook's distance be included? Clin Chem 2006 52 : 1848 50.
16. Bablok W, Heackel R, Meyers W, Wosniok W. Biometrical methods. In : Haeckel R, ed. Evaluation Methods in Laboratory Medicine. Weinheim : VCH Verlagsgesellschaft, 1993 : 203 21.
17. Linnet K. Estimation of the linear relationship between the measurements of two methods with proportional errors. Stat Med 1990 9 : 1463 73.
18. Jones R, Payne B. Clinical Investigation and Statistics in Laboratory Medicine. London : Association of Clinical Biochemists, ACB Venture publications, 1997.
19. Payne RB. Method comparison: evaluation of least squares, Deming and Passing/Bablok regression procedures for method comparison studies. Ann Clin Biochem 1997 34 : 319 20.
20. Stockl D, Dewitte K, Thienpont LM. Validity of linear regression in method comparison studies: is it limited by the statistical model or the quality of the analytical input data? Clin Chem 1998 44 : 2340 6.
21. Linnet K. Necessary sample size for method comparison studies based on regression analysis. Clin Chem 1999 45 : 882 94.
22. Stöckl D. Beyond the myths of difference plots. Ann Clin Biochem 1996 33 : 575 7.
23. Hawkins D. Outliers. In : Johnson N, Kotz S, eds. Encyclopedia of Statistical Sciences. New York : John Wiley & Sons, 1985 : 539 43.
24. Twomey PJ. How to use difference plots in quantitative method comparison studies. Ann Clin Biochem 2006 2 : 124 9.
25. EP6-A, NCCLS. Evaluation of the Linearity of Quantitative Measurement Procedures: a Statistical Approach; Approved Guideline. Vol. 23, No. 16, NCCLS document EP6-A. Wayne, PA : NCCLS, 2003.
26. Kroll MH, Emancipator K. A theoretical evaluation of linearity. Clin Chem 1993 39 : 405 13.
27. Emancipator K, Kroll MH. A quantitative measure of linearity. Clin Chem 1993 39 : 766 72.
28. Kroll MH, Emancipator K, Floering D, Tholen D. An algorithm for finding the linear region in a nonlinear data set. Comput Biol Med 1999 29 : 289 301.
29. Sheskin DJ. Handbook of Parametric and Nonparametric Statistical Procedures, 2nd edn. Boca Raton : Chapman & Hall, CRC Press LLC, 2000.
30. Twomey PJ, Kroll MH. Errors in the assessment of estimated glomerular filtration rate. Clin Chem 2006 52 : 153.
31. Barnett V, Lewis T. Outliers in Statistical Data. New York : John Wiley & Sons, 1984.
32. Kenny D, Fraser CG, Hyltoft Petersen P, Kallner A. Consensus Agreement. Scan J Clin Lab Invest 1999 59 : 585.