Summary
Various equations are used to calculate the correlation coefficient, these equations are presumed equally. However we find the extraordinary results when using\(r = \sqrt {\frac{{\Sigma (\hat y_i - \bar y)^2 }}{{\Sigma (y_i - \bar y)^2 }}} \) and\(r^2 = \frac{{\Sigma (y_i - \bar y)^2 - \Sigma (y_i - \hat y_i )^2 }}{{\Sigma (y_i - \bar y)^2 }}\) to calculate the correlation coefficient, for example, a line within 95% confidence band of a regressed line. The results are so extraordinary that we do not know whether or not we can still call the results as correlation coefficient, however we are sure that these results need to be presented.
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References
Wu G. (1995): Calculating predictive performance: a user’s note. Pharmacol. Res. 31: 393–9
Wu G Baraldo M, Furlanut M. (1995): Calculating percentage prediction error: a user’s note. Pharmacol. Res. 32: 241–8
Wu G. (1996): Fit fluctuating blood drug concentration: a beginner’s first note. Pharmacol. Res. 33: 379–83
Wu G. (1997): An explanation for failure to predict cyclosporine area under the curve using a limited sampling strategy: a beginner’s second note. Pharmacol. Res. 35: 547–52
Wu G. (2000): Sensitivity analysis of pharmacokinetic parameters in one-compartment models. Pharmacol. Res. 41: 445–53
Wu G. (2001): Sensitivity analysis of pharmacodynamic parameters in pharmacodynamic models. Eur. J. Drug Metab. Pharmacokinet. 26: 59–63
Wu G. (2002): Squared correlation coefficient of measured values vs predicted values: the observations on linear and monoexponential regressions. Eur. J. Drug Metab. Pharmacokinet. 27: 113–117
Wu G. (2002): Calculation of steady-state distribution delay between central and peripheral compartments in two-compartment models with infusion regimen. Eur J. Drug Metab. Pharmacokinet. 27: 259–264
Deming S. N., Morgan S. L. (1979): The use of linear models and matrix least squares in clinical chemistry. Clin. Chem. 25: 840–855.
Gabrielsson J., Weiner D. (1994): Pharmacokinetic and pharmacodynamic data analysis: concept and applications. Stockholm: Swedish Pharmaceutical Press, 15–18.
Altman D. G., Gardner M. J. (1988): Calculating confidence intervals for regression and correlation. Br. Med. J. 296: 1238–1242.
Sharp Corporation. (1983): Sharp pocket computer PC-1500 applications manual. Osaka, 36.
Draper N. R., Smith H. (1981): Applied regression analysis. 2nd edn. New York: John Wiley & Sons, 550
Draper N. R., Smith H. (1981): Applied regression analysis. end edn. New York: John Wiley & Sons, 46.
Jandel Scientific Software. (1994): SigmaPlot scientific graphing software for windows manual, Transforms curve fitting. Erkrath: Jandel Scientific GmbH, Chapter 6, 34–35.
Kleinbaum D. G., Kupper L.L. Muller K. E. (1988): Applied regression analysis and other multivariable methods. 2nd eds. Boston: PWS-KENT Publishing Company, 147.
Draper N. R., Smith H. (1981): Applied regression analysis. 2nd Ed. New York: John Wiley & Sons, 40.
Microsoft Corporation. (1985–1997): Microsoft Excel 97 SR-2 (i).
Targett R. C. (1984): BioStat software.
PCNonlin user guide. (1992): version 4.0. Apex NC: Scientific Consulting, Inc., model 13.
SIMED S.A. (1995): P-Pharm pharmacokinetic data modeling software. version 1.3. Créteil
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Wu, G. An extremely strange observation on the equations for calculation of correlation coefficient. Eur. J. Drug Metab. Pharmacokinet. 28, 85–92 (2003). https://doi.org/10.1007/BF03190494
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DOI: https://doi.org/10.1007/BF03190494