References

Bland, J. M. and Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet 327, 307–310. ↩¹ ↩²

Box, G. E. and Cox, D. R. (1964). An Analysis of Transformations. Journal of the Royal Statistical Society, Series B 26, 211–252. ↩¹

Brown, M. B. and Forsythe, A. B. (1974). Robust Tests for the Equality of Variances. Journal of the American Statistical Association 69, 364–367. ↩¹ ↩²

Cole, T. J. and Green, P. J. (1992). Smoothing reference centile curves: the LMS method and penalized likelihood. Statistics in Medicine 11, 1305–1319. ↩¹

DerSimonian, R. and Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials 7, 177–188. ↩¹

Fearnhead, P. (2006). Exact and Efficient Bayesian Inference for Multiple Changepoint Problems. Statistics and Computing 16, 203–213. ↩¹ ↩²

Harris, E. K. and Boyd, J. C. (1990). On dividing reference data into subgroups to produce separate reference ranges. Clinical Chemistry 36, 265–270. ↩¹ ↩²

Higgins, J. P. and Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine 21, 1539–1558. ↩¹

Higgins, J. P.; Thompson, S. G. and Spiegelhalter, D. J. (2009). A re-evaluation of random-effects meta-analysis. Journal of the Royal Statistical Society: Series A 172, 137–159. ↩¹

Horn, P. S.; Pesce, A. J. and Copeland, B. E. (1998). A robust approach to reference interval estimation and evaluation. Clinical Chemistry 44, 622–631. ↩¹

Inclán, C. and Tiao, G. C. (1994). Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance. Journal of the American Statistical Association 89, 913–923. ↩¹ ↩²

Johnson, W. E.; Li, C. and Rabinovic, A. (2007). Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics 8, 118–127. ↩¹ ↩²

Killick, R.; Fearnhead, P. and Eckley, I. A. (2012). Optimal Detection of Changepoints With a Linear Computational Cost. Journal of the American Statistical Association 107, 1590–1598. ↩¹ ↩²

Kruskal, W. H. and Wallis, W. A. (1952). Use of Ranks in One-Criterion Variance Analysis. Journal of the American Statistical Association 47, 583–621. ↩¹ ↩²

Levey, S. and Jennings, E. R. (1950). The use of control charts in the clinical laboratory. American Journal of Clinical Pathology 20, 1059–1066. ↩¹ ↩²

Lin, J. (1991). Divergence measures based on the Shannon entropy. IEEE Transactions on Information Theory 37, 145–151. ↩¹

Page, E. S. (1954). Continuous Inspection Schemes. Biometrika 41, 100–115. ↩¹ ↩²

Passing, H. and Bablok, W. (1983). A new biometrical procedure for testing the equality of measurements from two different analytical methods. Journal of Clinical Chemistry and Clinical Biochemistry 21, 709–720. ↩¹ ↩²

Roberts, S. W. (1959). Control Chart Tests Based on Geometric Moving Averages. Technometrics 1, 239–250. ↩¹

Rousseeuw, P. J. and Croux, C. (1993). Alternatives to the Median Absolute Deviation. Journal of the American Statistical Association 88, 1273–1283. ↩¹

Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association 63, 1379–1389. ↩¹ ↩²

Székely, G. J. and Rizzo, M. L. (2013). Energy statistics: A class of statistics based on distances. Journal of Statistical Planning and Inference 143, 1249–1272. ↩¹ ↩² ↩³

Theil, H. (1950). A rank-invariant method of linear and polynomial regression analysis. Proceedings of the Royal Netherlands Academy of Sciences 53, 386–392. ↩¹ ↩²

Westgard, J. O.; Barry, P. L.; Hunt, M. R. and Groth, T. (1981). A multi-rule Shewhart chart for quality control in clinical chemistry. Clinical Chemistry 27, 493–501. ↩¹ ↩²

Clinical and Institute, L. S. (2010). EP28-A3c: Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory (CLSI). ↩¹ ↩²