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Statistics bibliography 11 - stats

Altman, D.G. & Bland, J.M. (1996). Statistics Notes: Comparing several groups using analysis of variance. BMJ 312, 1472-1473 (8 June). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2351202/pdf/bmj00545-0046.pdf [free]

 

Adams, D. & Carwardine, M. (1991). Last chance to see.... Pan Books, London.

 

Anonymous (2007). Dr Fisher's casebook. Significance 4 (1), 26. http://dx.doi.org/10.1111/j.1740-9713.2007.00216.x

 

Bland, J.M. & Altman, D.G. (1995). Statistics notes. Multiple significance tests: the Bonferroni method. BMJ 310, 170 (21 January). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2548561/pdf/bmj00576-0038.pdf [free pdf]

 

Benjamini, Y. & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society B, 57, 289-300. http://www.jstor.org/pss/2346101 http://www.dm.uba.ar/materias/analisis_expl_y_conf_de_datos_de_exp_de_marrays_Mae/2006/1/teoricas/FDR%201995.pdf [free pdf]

 

Bewick, V. et al. (2004). Statistics review 9: One-way analysis of variance. Critical Care 8 (2), 130-136. http://dx.doi.org/10.1186/cc2836 http://www.biomedcentral.com/content/pdf/cc2836.pdf [free pdf]

 

Bland, J.M. & Altman, D.G (1996). Measurement error and correlation coefficients. BMJ 313, 41-42 (6 July). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2351452/pdf/bmj00549-0045.pdf [free html]

 

Brown, M.B. & Forsythe, A.N. (1974). Robust tests for the equality of variances. Journal of the American Statistical Association 69 (346), 364-367. http://www.jstor.org/pss/2285659

 

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

 

Day, R.W. & Quinn, G.P. (1989). Comparisons of treatments after an analysis of variance in ecology. Ecological Monographs 59 (4), 433-463. http://www.jstor.org/pss/1943075 http://pascencio.cos.ucf.edu/classes/Methods/comparisons_of_treatments_in_ANOVA.pdf [free pdf]

 

Doncaster, C.P. & Davey, A.J.H. (2007). Analysis of variance and covariance: How to choose and construct models for the life sciences. Cambridge University Press, Cambridge. 302pp.

 

Dunnett, C.W. (1955). A multiple comparisons procedure for comparing several treatments with a control. Journal of the American Statistical Association 50, 1096-1121.

 

Dunn, O.J. (1964). Multiple comparisons using rank sums, Technometrics 6 (3), 241-252. http://www.jstor.org/pss/1266041

 

Einot, I. & Gabriel, K.R. (1985). A study of the powers of several methods of multiple comparisons. Journal of the American Statistical Association 70 (351), 574-583. http://www.jstor.org/pss/2285935 http://sci2s.ugr.es/keel/pdf/specific/articulo/0057_001.pdf [free pdf]

 

Feise, R.J. (2002). Do multiple outcome measures require p-value adjustment. BMC Medical Research Methodology 2:8 http://dx.doi.org/10.1186/1471-2288-2-8 http://www.biomedcentral.com/content/pdf/1471-2288-2-8.pdf [free pdf]

 

Fligner, M.A. & Policello, G.E. (1981). Robust rank procedures for the Behrens-Fisher problem. Journal of the American Statistical Association 76 (373), 162-168.

 

Fisher, R.A. (1935). The design of experiments. 1st Edition. Oliver & Boyd, Edinburgh, Scotland.

 

Garcia, L.V. (2004) Escaping the Bonferroni iron claw in ecological studies. Oikos 105 (3), 657-663. http://dx.doi.org/10.1111/j.0030-1299.2004.13046.x

 

Gill, J.L. (1990). Uses and abuses of statistical methods in research in parasitology. Veterinary Parasitology 36 (3-4), 189-209. http://www.ncbi.nlm.nih.gov/pubmed/2399643 [abstract only]

 

Gill, J.L. (1978). Design and analysis of experiments in the animal and medical sciences. Vol 3. Appendices. The Iowa State University Press Ames, IA.

 

Hollander, M. & Wolfe, D.A. (1973). Nonparametric statistical methods. Wiley & Sons, New York.

 

Keselman, H.J. et al. (1998). Statistical practices of educational researchers: An analysis of their ANOVA, MANOVA and ANCOVA analyses. Review of Educational Research 68 (3), 350-386. http://dx.doi.org/10.3102/00346543068003350 http://home.cc.umanitoba.ca/~kesel/rer1998.pdf

 

Keuls, M. (1952). The use of the "studentized range" in connection with the analysis of variance. Euphytica 1 (2), 112-122. http://dx.doi.org/10.1007/BF01908269

 

Kruskal, W. (1980). The significance of Fisher: a review of 'R. A. Fisher: The Life of a Scientist' by J.F. Box. Journal of the American Statistical Association 75 (372), 1019-1030. http://www.jstor.org/pss/2287199

 

Kruskal, W.H. & Wallis, W.A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association 47 (260), 583-621. http://www.garfield.library.upenn.edu/classics1987/A1987K083800001.pdf [abstract only]

 

Kerry, S.M. & Bland, J.M. (1998). Statistics notes. The intracluster correlation coefficient in cluster randomisation. BMJ 316, 1455-1460 (9 May). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1113123/pdf/1455.pdf [free pdf]

 

Lowry, S.R. (1992). Use and misuse of multiple comparisons in animal experiments. Journal of Animal Science 70, 1971-1977. http://www.animal-science.org/content/70/6/1971.full.pdf [free pdf]

 

McGraw, K.O. & Wong, S.P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods 1 (1), 30-46. http://dx.doi.org/10.1037/1082-989X.1.1.30

 

Moran, M.D. (2003). Arguments for rejecting the sequential Bonferroni in ecological studies. Oikos 100 (2), 403-405. http://dx.doi.org/10.1034/j.1600-0706.2003.12010.x http://people.stfx.ca/rscrosat/biology384/Moran_03.pdf [free pdf]

 

Müller & Büttner (1994) A critical discussion of intraclass correlation coefficients. Statistics in Medicine, 13 (23-24), 2465-2476. http://dx.doi.org/10.1002/sim.4780132310

 

Nelder, J.A. (1971). Contribution to the discussion of O'Neil, R.T. & Wetherill, B.G. (1971). The present state of multiple comparison methods. Journal of the Royal Statistical Society B 33, 241-250 http://www.jstor.org/pss/2985004

 

Newman, D. (1939). The distribution in range of samples from a normal population, expresssed in terms of an independent estimate of standard deviation. Biometrika 31 (1-2), 20-30. http://dx.doi.org/10.1093/biomet/31.1-2.20

 

Nemenyi, P. (1963). Distribution-free multiple comparisons. Dissertation. Princeton University, Princeton, New Jersey.

 

Neuhauser, M. (2002). Two sample tests when variances are unequal. Animal Behaviour 63 (4), 823-825. http://dx.doi.org/10.1006/anbe.2002.1993

 

Pagel, M.D. (1992). A method for the analysis of comparative data. Journal of Theoretical Biology 156 (4), 431-442.

 

Perry, J.N. (1986). Multiple-comparison procedures: A dissenting view. Journal of Economic Entomology 79 (5), 1149-1155.

 

Perneger, T.V. (1998). What's wrong with Bonferroni adjustments? BMJ 316, 1236-1238 (18 April). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1112991/pdf/1236.pdf [free html]

 

Rice, W.R. (1989). Analyzing tables of statistical tests. Evolution 43, 223-225. http://www.utm.utoronto.ca/~collinsn/1310/cd%20contents/ 1500%20readings/Bonferroni/rice%2089%20seq%20bonferroni%20test.pdf [free pdf]

 

Rothman, K.J. (1990). No adjustments are needed for multiple comparisons. Epidemiology 1 (1), 43-46. http://www.ncbi.nlm.nih.gov/pubmed/2081237 [abstract only]

 

Steel, R.G.D. (1959). A multiple comparison rank sum test: treatment versus control. Biometrics 15, 560-572.

 

Siegel, S. & Castellan, N.J. Jr. (1988) . Nonparametric statistics for the behavioral sciences. 2nd Edn. McGraw-Hill, New York.

 

Steel, R.G.D. (1960). A rank sum test for comparing all treatments. Technometrics 2, 197-207.

 

Shrout, P.E. & Fleiss, J.L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin 86 (2), 420-428. http://dionysus.psych.wisc.edu/lit/Articles/ShroutP1979a.pdf [free pdf]

 

Siegel, S. (1956). Nonparametric Statistics for the Behavioural Sciences. McGraw-Hill Kogakusha, Tokyo.

 

Steel, R.G.D. (1961). Some rank sum multiple comparison tests. Biometrics 17, 539-552.

 

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.

 

Steel, R.G.D. & Torrie, J.H. (1960). Principles and procedures of statistics with special reference to the biologial sciences. McGraw Hill, New York.

 

Stewart-Oaten, A. (1995). Rules and judgements in statistics: three examples. Ecology 76 (6), 2001-2009. http://jstor.org/stable/1940736

 

Henri Theil (1971). Principles of econometrics. Wiley, New York.

 

Tukey, J.W. (1953). Some selected quick and easy methods of statistical analysis. Transactions of the New York Academy of Sciences, Series 2 16, 88-97.

 

Underwood, A.J. (1997). Experiments in ecology: Their logical design and interpretation using analysis of variance. Cambridge University Press. Cambridge, UK

 

Ury, H.K. (1976). A comparison of four procedures for multiple comparisons among means - pairwise contrasts for arbitrary sample sizes. Technometrics 18, 89-97.

 

Wallenstein, S. et al.. (1980). Some statistical methods useful in circulation research. Circulation Research 47, 1-9. http://circres.ahajournals.org/cgi/reprint/47/1/1.pdf [free pdf]

 

Wilcox, R.R. (1995). ANOVA: A paradigm for low power and misleading measures of effect size? Review of Educational Research 65 (1), 51-77. http://dx.doi.org/10.3102/00346543065001051

 

Welch, B.L. (1951) On the comparison of several mean values: an alternative approach. Biometrika, 38 (3-4), 330-336. http://dx.doi.org/10.1093/biomet/38.3-4.330

 

Wilson, J.B. (2007). Priorities in statistics, the sensitive feet of elephants, and don't transform data. Folia Geobotanica 42 (2), 161-167. http://dx.doi.org/10.1007/BF02893882 http://www.planta.cn/forum/files_planta/6_priorities_in_statistics_ the_sensitive_feet_of_elephants_and_dont_transform_data_104.pdf [free pdf]

 

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