Bibliography

List of references to articles and books.

Altman, D. G., & Bland, J. M. (1983). Measurement in medicine: the analysis of method comparison studies. The statistician, 307-317.

Bablok, W., Passing, H., Bender, R., & Schneider, B. (1988). A general regression procedure for method transformation. Application of linear regression procedures for method comparison studies in clinical chemistry, Part III. Clinical Chemistry and Laboratory Medicine, 26(11), 783-790.

Bangdiwala, S. I., & Shankar, V. (2013). The agreement chart. BMC medical research methodology, 13(1), 97.

Bland, J., & Altman, D. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet, 327(8476), 307-310.

Bland, J. M., & Altman, D. G. (1995). Comparing methods of measurement: why plotting difference against standard method is misleading. The Lancet, 346(8982), 1085-1087.

Bland, J. M., & Altman, D. G. (1999). Measuring agreement in method comparison studies. Statistical methods in medical research, 8(2), 135-160.

Burdick, R. K. & Graybill, F. A. (1992). Confidence intervals on variance components. CRC Press.

Burr, I. W. (1967). The effect of non-normality on constants for Xbar and R charts. Industrial Quality Control, 23(11), 563-569.

Carstensen, B. (2011). Comparing clinical measurement methods: a practical guide. John Wiley & Sons.

CLSI. (2014a). Evaluation of Precision Performance of Quantitative Measurement Methods (EP5-A3). Clinical and Laboratory Standards Institute.

CLSI. (2003). Evaluation of the Linearity of Quantitative Measurement Procedures (EP6-A). Clinical and Laboratory Standards Institute.

CLSI. (2020). Evaluation of the Linearity of Quantitative Measurement Procedures (EP6-Ed2). Clinical and Laboratory Standards Institute.

CLSI. (2002). Method Comparison and Bias Estimation Using Patient Samples (EP9-A2). Clinical and Laboratory Standards Institute.

CLSI. (2014b). User Verification of Performance for Precision and Trueness (EP15-A3). Clinical and Laboratory Standards Institute.

CLSI. (2012). Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures (EP17-A2). Clinical and Laboratory Standards Institute.

CLSI. (2013). Estimation of Total Analytical Error for Clinical Laboratory Methods (EP21-A). Clinical and Laboratory Standards Institute.

CLSI. (2010). Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory (EP28-A3C, formerly C28-A3C). Clinical and Laboratory Standards Institute.

Cicchetti, D. V., & Feinstein, A. R. (1990). High agreement but low kappa: II. Resolving the paradoxes. Journal of clinical epidemiology, 43(6), 551-558.

Cornbleet, P. J., & Gochman, N. (1979). Incorrect least-squares regression coefficients in method-comparison analysis. Clinical Chemistry, 25(3), 432-438.

Currie, L. A. (1999). Detection and quantification limits: origins and historical overview. Analytica Chimica Acta, 391(2), 127-134.

DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988). Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics, 837-845.

Gabriel, K. R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika, 58(3), 453-467.

Emancipator, K., & Kroll, M. H. (1993). A quantitative measure of nonlinearity. Clinical chemistry, 39(5), 766-772.

Feinstein, A. R., & Cicchetti, D. V. (1990). High agreement but low kappa: I. The problems of two paradoxes. Journal of clinical epidemiology, 43(6), 543-549.

Gower, J. C., Lubbe, S. G., & Le Roux, N. J. (2011). Understanding Biplots. John Wiley & Sons.

Harrell, F. E., & Davis, C. E. (1982). A new distribution-free quantile estimator. Biometrika, 69(3), 635-640.

Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143(1), 29-36.

Hanley, J. A., & McNeil, B. J. (1983). A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology, 148(3), 839-843.

Hsieh, E., & Liu, J. P. (2008). On statistical evaluation of the linearity in assay validation. Journal of Biopharmaceutical Statistics, 18(4), 677-690.

Hsieh, E., Hsiao, C. F., & Liu, J. P. (2009). Statistical methods for evaluating the linearity in assay validation. Journal of Chemometrics, 23(1), 56-63.

Hirji, K. F. (2005). Exact analysis of discrete data. CRC Press.

Horn, P. S. (1990). Robust quantile estimators for skewed populations. Biometrika, 77(3), 631-636.

Horn, P. S., Pesce, A. J., & Copeland, B. E. (1998). A robust approach to reference interval estimation and evaluation. Clinical Chemistry, 44(3), 622-631.

Horn, P. S., Pesce, A. J., & Copeland, B. E. (1999). Reference interval computation using robust vs. parametric and nonparametric analyses. Clinical Chemistry, 45(12), 2284-2285.

Horn, P. S., & Pesce, A. J. (2005). Reference intervals: a user's guide. American Association for Clinical Chemistry.

Hsu, J. C. (1996). Multiple Comparisons: Theory and Methods. CRC Press.

ISO. (1994). ISO 5725: Accuracy (Trueness and Precision) of Measurement Methods and Results. International Organization for Standardization.

Jolliffe, I. (2002). Principal component analysis. Springer-Verlag, New York, Inc.

Kroll, M. H., & Emancipator, K. (1993). A theoretical evaluation of linearity. Clinical chemistry, 39(3), 405-413.

Krouwer, J. S. (2008). Why Bland–Altman plots should use X, not (Y+ X)/2 when X is a reference method. Statistics in Medicine, 27(5), 778-780.

Krouwer, J. S., & Monti, K. L. (1995). A simple, graphical method to evaluate laboratory assays. European journal of clinical chemistry and clinical biochemistry, 33(8), 525-528.

Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. biometrics, 159-174.

Linnet, K. (1993). Evaluation of regression procedures for methods comparison studies. Clinical Chemistry, 39, 424-424.

Linnet, K. (1990). Estimation of the linear relationship between the measurements of two methods with proportional errors. Statistics in Medicine, 9(12), 1463-1473.

Linnet, K. (1998). Performance of Deming regression analysis in case of misspecified analytical error ratio in method comparison studies. Clinical chemistry, 44(5), 1024-1031.

Linnet, K. (2000). Nonparametric estimation of reference intervals by simple and bootstrap-based procedures. Clinical Chemistry, 46(6), 867-869.

Krouwer, J. S. (2002). Setting performance goals and evaluating total analytical error for diagnostic assays. Clinical Chemistry, 48(6), 919-927.

Linnet, K., & Kondratovich, M. (2004). Partly nonparametric approach for determining the limit of detection. Clinical chemistry, 50(4), 732-740.

Liu, A., & Bandos, A. I. (2012). Statistical evaluation of diagnostic performance: topics in ROC analysis. CRC Press.

Monti, K. L. (1995). Folded empirical distribution function curves—mountain plots. The American Statistician, 49(4), 342-345.

Montgomery, D. C. (2012). Introduction to statistical quality control. John Wiley & Sons.

Nelson, L. S. (1984). Technical Aids: The Shewhart Control Chart -Tests for Special Causes. Journal of quality technology, 16(4).

Passing, H., & Bablok, W. (1983). 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. Clinical Chemistry and Laboratory Medicine, 21(11), 709-720.

Passing, H., & Bablok, W. (1984). 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. Clinical Chemistry and Laboratory Medicine, 22(6), 431-445.

Pepe, M. S. (2003). The statistical evaluation of medical tests for classification and prediction. Oxford University Press.

Pollock, M. A., Jefferson, S. G., Kane, J. W., Lomax, K., MacKinnon, G., & Winnard, C. B. (1992). Method comparison - a different approach. Annals of clinical biochemistry, 29, 556-560.

Rigdon, S. E., Cruthis, E. N., & Champ, C. W. (1994). Design strategies for individuals and moving range control charts. Journal of Quality Technology, 26(4), 274-287.

Ryan, T. P. (2011). Statistical methods for quality improvement. John Wiley & Sons.

Sadler, W. A., & Smith, M. H. (1986). A reliable method of estimating the variance function in immunoassay. Computational Statistics & Data Analysis, 3, 227-239.

Sadler, W. A., Smith, M. H., & Legge, H. M. (1988). A method for direct estimation of imprecision profiles, with reference to immunoassay data. Clinical chemistry, 34(6), 1058-1061.

Sadler, W. A., (2016). Using the variance function to estimate limit of blank, limit of detection and their confidence intervals. Ann Clin Biochem, 53, 141-149.

Strike, P. W. (2014). Statistical methods in laboratory medicine. Butterworth-Heinemann.

N. I. S. T. (2012). e-Handbook of Statistical Methods.

Sahai, H., & Ojeda, M. M. (2004). Analysis of Variance for Random Models, Volume 1: Balanced Data. Springer Science & Business Media.

Sahai, H., & Ojeda, M. M. (2004). Analysis of Variance for Random Models, Volume 2: Unbalanced Data. Springer Science & Business Media.

Solberg, H. E. (1987). Approved recommendation on the theory of reference values. Part 5. Statistical treatment of collected reference values. Determination of reference limits. Clinica Chimica Acta, 170(2), S13-S32.

Stöckl, D., Dewitte, K., & Thienpont, L. M. (1998). Validity of linear regression in method comparison studies: is it limited by the statistical model or the quality of the analytical input data?. Clinical Chemistry, 44(11), 2340-2346.

Western Electric Company. (1958). Statistical Quality Control Handbook. AT&T.

Xue J., Titterington D. M. (2010, unpublished). The p-folded Cumulative Distribution Function and the Mean Absolute Deviation from the p-quantile.

Zhou, X. H., Obuchowski, N. A., & McClish, D. K. (2011). Statistical methods in diagnostic medicine. Wiley-Blackwell.

Zweig, M. H., & Campbell, G. (1993). Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39(4), 561-577.