Batterham, A.M. ( 2004). Commentary on Bias in Bland-Altman but not Regression Validity Analyses Sportscience 8, 47-49. Read[free html]
Carroll, R.J. & Ruppert, D. (1996). The use and misuse of orthogonal regression estimation in linear errors-in-variables models. The American Statistician 50, 1-6. Read
Carroll, R.J. et al. (2006). Measurement error in nonlinear models: A modern perspective. Chapman & Hall / CRC Press.
Chambers, J.M. et al. (1983). Graphical methods for data analysis. Wadsworth International Group/Duxbury Press, Belmont & Boston.
Clarke, M.R.B. (1980). The reduced major axis of a bivariate sample. Biometrika 67 (2), 441-446. Read
Cleveland, W.S. (1979). Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association 74, 829-836. Read [free pdf]
Conover, W.J. (1999). Practical nonparametric statistics. 3rd Edn. John Wiley & Sons, New York.
Daniels, H.E. (1950). Rank correlation and population models. Journal of the Royal Statistical Society (B) 12, 171-181. Read
Fuller, W.A. (1987). Measurement error models. Wiley, New York.
Garcia-Berthou, E. (2001). On the misuse of residuals in ecology: testing regression residuals vs. the analysis of covariance. Journal of Animal Ecology 70 (4), 708-711. ReadRead [free pdf]
Green, R.H. (1970) On fixed precision level sequential sampling. Researches in Population Ecology 12 (2), 249-251. Read
Gill, J.L. (1987). Biases in regression when prediction is inverse to causation. Journal of Animal Science 64 (2), 594-60. Read [free pdf]
Hamilton, A. & Versace, V. (2009) Is model II regression necessary for Taylor's Power Law? Potential honours project title . Read
Hamilton, A.J. & Hepworth, G. (2004). Accounting for cluster sampling in constructing enumerative sequential sampling plans. Journal of Economic Entomology 97 (3), 1132-1136.
Read
Hollander, M. & Wolfe, D.A. (1973). Nonparametric statistical methods. Wiley & Sons, New York.
Hopkins, W.G. (2004). Bias in Bland-Altman but not Regression Validity Analyses. Sportscience 8, 42-46. Read [free html]
Jackson, D.A. & Somers, K.M. (1991). The spectre of 'spurious' correlations. Oecologia 86 (1), 147-151. ReadRead [free pdf]
Kenney, B.C. (1991). Comments on 'Some misconceptions about the spurious correlation problem in the ecological literature' by Y.T. Prairie and D.F. Bird. Oecologia 86 (1), 152. Read
Kraemer, H.C. (2006). Correlation coefficients in medical research: from product moment correlation to the odds ratio. Statistical Methods in Medical Research 15 (6), 525-545. Read
Ludbrook, J. (1997). Comparing methods of measurements. Clinical and Experimental Pharmacology and Physiology 24 (2), 193-203. Read
Leng, L. et al. (2007). Ordinary least square regression, orthogonal regression, geometric mean regression and their applications in aerosol science. Journal of Physics: Conference Series 78 012084. ReadRead [free pdf]
Ludbrook, J. (2008). Statistics in biomedical laboratory and clinical science: Applications, issues and pitfalls. Medical Principles and Practice 17, 1-13. ReadRead [free pdf]
Ludbrook J. (2002). Statistical techniques for comparing measurers and methods of measurement: a critical review. Clinical and Experimental Pharmacology and Physiology 29(7), 527-36. ReadRead [free pdf]
Mcardle, B.H. (1988). The structural relationship: regression in biology. Canadian Journal of Zoology 66, (11) 2329-2339. Read
Mcardle, B.H. (2004). Lines, models and errors: regression in the field. Limnology and Oceanography 48 (3), 1363-1366. Read [free pdf]
Martin, R.F. (2000). General Deming regression for estimating systematic bias and Its confidence interval in method-comparison studies. Clinical Chemistry 46 (1), 100-104. Read [free pdf]
Maxwell, S.E. et al. (1993) Analysis of covariance and alternatives. In: Edwards, L.K. (Ed.) Applied analysis of variance in behavioral science. Marcel Dekker, New York.
[not available in full on line]
Mudelsee, M. (2003). Estimating Pearson's correlation coefficient with bootstrap confidence interval from serially dependent time series. Mathematical Geology 35 (6), 651-665. Read
Olds, E.G. (1938). Distribution of sums of squares of rank differences for small numbers of individuals. Annals of Mathematical Statistics 9, 133-148.
Pearson, K. (1897). On a form of spurious correlation which may arise when indices are used in the measurement of organs. Proceedings of the Royal Society of London 60, 489-498.
Potvin, C. & Roff, D.A. (1993). Distribution-free and robust statistical methods: Viable alternatives to parametric statistics? Ecology 74 (6), 1617-1628. Read
Prairie, Y.T. & Bird, D.F. (1989). Some misconceptions about the spurious correlation problem in the ecological literature. Oecologia 81 (2), 285-288. Read
Rodgers, J.L. & Nicewander, W.A. (1988). Thirteen ways to look at the correlation coefficient. The American Statistician 42 (1), 59-66. ReadRead [free pdf]
Ricker, W.E. (1984). Computation and use of central trend lines. Canadian Journal of Zoology 62 (10), 1897-1905. Read
Ryan, S.E. & Porth, L.S. (2007) A tutorial on the piecewise regression approach applied to bedload transport data. General Technical Report RMRS-GTR-189. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 41 pp. Read [free pdf]
Sen, P.K. (1968). Estimates of the regression coefficient based on Kendall's Tau. American Statisatics Journal 63 (324).
Siegel, S. (1956). Nonparametric Statistics for the Behavioural Sciences. McGraw-Hill Kogakusha, Tokyo.
Snedecor, G.W. & Cochran, W.G. (1989). Statistical Methods. 8th Edn. Iowa State Press, Iowa, USA.
Sokal, R.R. & Rohlf, F.J. (1995). Biometry. The principles and practice of statistics in biological research. 3rd Edn. Freeman, New York.
Sprent, P. (1998). Data driven statistical methods. Chapman & Hall, London.
Stockl, D. et al. (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, 2340-2346 Read [free pdf]
Woodward, M. (2004). Epidemiology. Study Design and Analysis. 2nd edn. Chapman & Hall/CRC, Boca Raton. 872 pp.
Westgard, J.O. (1998). Points of Care in Using Statistics in Method Comparison Studies (Editorial). Clinical Chemistry 44 (11), 2240-2241. Read [free pdf]
Wharton, D. et al. (2005). Bivariate line fitting methods for allometry. Biological Reviews 81 (2), 259-291. ReadRead [free pdf]