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Statistics bibliography 12 - stats

Altman, D.G. & Bland, J.M. (1983). Measurement in medicine: the analysis of method comparison studies. The Statistician 32, 307-317. [free pdf]


Armitage, P. & Berry, G. (2002). Statistical methods in medical research. 4th Edn. Blackwells, Oxford.


Brett, M.T. (2004). When is a correlation between non-independent variables "spurious"? Oikos 105 (3), 647-656.


Berges, J.A. (1997). Ratios, regression statistics, and "spurious" correlations. Limnology & Oceanography 42 (5), 1006-1007. [free pdf]


Bland, J.M. & Altman, D.G (1996). Measurement error and correlation coefficients. BMJ 313, 41-42 (6 July). [free html]


Batterham, A.M. ( 2004). Commentary on Bias in Bland-Altman but not Regression Validity Analyses Sportscience 8, 47-49.[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.


Carroll, R.J. et al. (2006). Measurement error in nonlinear models: A modern perspective. Chapman & Hall / CRC Press.


Chalmer, B.J. & Whitmore, D.G. (1986). Understanding Statistics. 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.


Cleveland, W.S. (1979). Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association 74, 829-836. [free pdf]


Conover, W.J. (1999). Practical nonparametric statistics. 3rd Edn. John Wiley & Sons, New York.


Cornbleet P.J. & Gochman N. (1979). Incorrect least-squares regression coefficients in method-comparison analysis. Clinical Chemistry 25 (3), 432-439. [free pdf]


Daniels, H.E. (1950). Rank correlation and population models. Journal of the Royal Statistical Society (B) 12, 171-181.


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. [free pdf]


Green, R.H. (1970) On fixed precision level sequential sampling. Researches in Population Ecology 12 (2), 249-251.


Gilbert, R.O. (1987). Statistical methods for environmental pollution monitoring. Wiley & Sons.


Gill, J.L. (1987). Biases in regression when prediction is inverse to causation. Journal of Animal Science 64 (2), 594-60. [free pdf]


Hamilton, A. & Versace, V. (2009) Is model II regression necessary for Taylor's Power Law? Potential honours project title .


Hamilton, A.J. & Hepworth, G. (2004). Accounting for cluster sampling in constructing enumerative sequential sampling plans. Journal of Economic Entomology 97 (3), 1132-1136.[1132:AFCSIC]2.0.CO;2


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. [free html]


Jackson, D.A. & Somers, K.M. (1991). The spectre of 'spurious' correlations. Oecologia 86 (1), 147-151. 10.1007/BF00317404 [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.


Kermack, K.A. & Haldane, J.B.S. (1950). Organic correlation and allometry. Biometrika 37 (1-2), 30-41.


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. 10.1177/0962280206070650


Ludbrook, J. (1997). Comparing methods of measurements. Clinical and Experimental Pharmacology and Physiology 24 (2), 193-203.


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. [free pdf]


Ludbrook, J. (2008). Statistics in biomedical laboratory and clinical science: Applications, issues and pitfalls. Medical Principles and Practice 17, 1-13. [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. [free pdf]


Mcardle, B.H. (1988). The structural relationship: regression in biology. Canadian Journal of Zoology 66, (11) 2329-2339.


Mcardle, B.H. (2004). Lines, models and errors: regression in the field. Limnology and Oceanography 48 (3), 1363-1366. [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. [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.


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.


Prairie, Y.T. & Bird, D.F. (1989). Some misconceptions about the spurious correlation problem in the ecological literature. Oecologia 81 (2), 285-288.


Rodgers, J.L. & Nicewander, W.A. (1988). Thirteen ways to look at the correlation coefficient. The American Statistician 42 (1), 59-66. [free pdf]


Ricker, W.E. (1984). Computation and use of central trend lines. Canadian Journal of Zoology 62 (10), 1897-1905.


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. [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 [free pdf]


Trexler, J.C. & Travis, J. (1993). Nontraditional regression analyses. Ecology 74, 1629-1637. [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. [free pdf]


Wharton, D. et al. (2005). Bivariate line fitting methods for allometry. Biological Reviews 81 (2), 259-291. [free pdf]


Zar, J.H. (1999). Biostatistical analysis. 4th Edn. Prentice Hall International, London.