Biology, images, analysis, design...
Use/Abuse Stat.Book Beginnersle="(muddy boots, images & biology)">the field Stats & R
"It has long been an axiom of mine that the little things are infinitely the most important" (Sherlock Holmes)

Statistics bibliography D - stats

Andersen, B. (1990). Methodological errors in medical research. Blackwells Publishers, Oxford, UK.


Anderson, M.J. & Ter braak, C.J.F. (2003). Permutation tests for multi-factorial analysis of variance. Journal of Statistical Computation and Simulation 73 (2), 85-113.


Anderson, V.L. & McLean, R.A. (1974). Restriction errors: Another dimension in teaching experimental statistics. The American Statistician 28 145-152.


Bailey, R.A. (2008). Design of comparative experiments. Cambridge University Press. 348 pp. [free pdf]


Bauer, D.J. & Curran, P.J. (2006). Probing interactions in fixed and multilevel regression: Inferential and graphical techniques. Multivariate Behavioral Research 40 (3), 373-400. [free pdf]


Beaupre, S.J. & Dunham, A.E. (1995). A comparison of ratio-based and covariance analyses of a nutritinal data set. Functional Ecology 9 (6), 876-880. [free pdf]


Beckerman, H. et al. (2001). Smallest real difference, a link between reproducibility and responsiveness Quality of Life Research 10 (7), 571-578. [free pdf]


Bennington, C.C.. & Thayne, W.V. (1994). Use and misuse of mixed model analysis of variance in ecological studies. Ecology 75 (3), 717-722 . [free pdf]


Bliese, P.D. & Hanges, P.J. (2004). Being both too liberal and too conservative: The perils of treating grouped data as though they were independent. Organizational Research Methods 7 (4), 400-417.


Caudle, R.M. & Williams, G.M. (1993). The misuse of analysis of variance to detect synergy in combination drug studies. Pain 55 (3), 313-317 .


Ceyhan, E. & Goad, C.L. (2009). A comparison of analysis of covariate-adjusted residuals and analysis of covariance. Communications in Statistics - Simulation and Computation 38 (10), 2019 - 2038. [free pdf]


Chan, S.F. (2004). Adjustment for baseline measurement error in randomized controlled trials induces bias. Controlled Clinical Trials 25 (4), 373-400.


Cornfield, J. (1978). Randomisation by group: A formal analysis. American Journal of Epidemiology 108 (2), 100-102.


Crowder, M.J. and Hand, D.J. (1990). Analysis of repeated measures.Chapman & Hall, London. 257 pp.


Darlington, R.B & Smulders, T.V. (2001). Problems with residual analysis. Animal Behaviour 62, 599-602. [free pdf]


Davis, C.S. (2002). Statistical methods for the analysis of repeated measurements. Springer, New York.


Dutilleul, P. (1993). Spatial heterogeneity and the design of ecological field experiments. Ecology 74 (6), 1646-1658.


Federer, W.T. & Meredith, M.O. (1992). Covariance analysis for split-plot and split-block designs. The American Statistician 46 (2), 155-162. http:/


Federer, W.T. & Nguyen, N.-K.. (2002). Incomplete block designs. pp 1039-1042 in Encyclopedia of Environmetrics Vol. 2. Wiley & Sons, Ltd, Chichester. [free pdf]


Field, A. (1998). A bluffer's guide to ... sphericity. The British Psychological Society: Mathematical, Statistical & Computing Section Newsletter 6, 13-22. [no longer accessible]


Fitzmaurice, G.M. & Ravichandran, C. (2008). Statistical primer for cardiovascular research. A Primer in Longitudinal Data Analysis. Circulation 118, 2005-2010. [free pdf]


Fleiss, J.L. & Tanur, J.M. (1973). The analysis of covariance in psychopathology. pp 509-527 In: Hammer, M. et al. (Eds.) Psychpathology: Contributions from the social, behavioral, and biological sciences. Wiley, New York.


Fraas, J.W. & Newman, I. (2005). The use of the Johnson-Neyman confidence bands and multiple regression models to investigate interaction effects: important tools for educational researchers and program evaluators. Multiple Linear Regression Viewpoints 24, 14-24. [free pdf]


Freckleton, R.F. (2002). On the misuse of residuals in ecology: regression of residuals vs. multiple regression. Journal of Animal Ecology 71 (3), 542-545. [free pdf]


Frison, L. & Pocock, S.J. (2007) Repeated measures in clinical trials: Analysis using mean summary statistics and its implications for design . Statistics in Medicine 11 (13), 1685-1704. [free pdf]


Fry, J.C. (Ed) (1993). Biological data analysis: a practical approach. Oxford University Press, Oxford. 448 pp.


Gelman, A. (2005). Analysis of variance - Why is it more important than ever. The Annals of Statistics 33 (1), 1-53. [free pdf]


German, R.Z. et al. (2008). Variation in EMG activity: a hierarchical approach. Integrative and Comparative Biology 48 (2), 283-293. [free pdf]


Green, S. et al. (2002). Factorial design considerations. Journal of Clinical Oncology 20 (16), 3424-3430. [free pdf]


Greenwood, J.J.D. (1994). Statistical analysis of experiments conducted at multiple sites. Oikos 69 (2), 334.


Gueorguieva, R. & Krystal, J.H. (2004) Move over ANOVA. Progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry. Archives of General Psychiatry 61, 310-317. [free pdf]


Hand, D.J. & Taylor, C.C.. Multivariate analysis of variance and repeated measures: A practical approach for behavioural scientists. Chapman & Hall, London. 262 pp.


Hayes, A.F. & Matthes, J. (2009). Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations. Behavior Research Methods 41 (3), 924-936. [free pdf]


Hewitt, J.E. et al. (2001). Assessing environmental impacts: effects of spatial and temporal variability at likely impact scales. Ecological Applications 11 (5), 1502-1516.[1502:AEIEOS]2.0.CO;2


Hines, W. G. S. (1996). Pragmatics of pooling in ANOVA tables. The American Statistician 50 (2), 127-139.


Horton, D.R. & Redak, R.A. (1993) Further comments on analysis of covariance in insect dietary studies. Entomologia Experimentalis et Applicata 69 (3), 263-275.


Howell, D.C. (2002). Fundamental statistics for the behavioral sciences. 6th Edn. Wadsworth.


Huitema, B.E. (1980) The analysis of covariance and alternatives. Wiley, New York. [not available in full on line]


Jackson, S. & Brashers, D.E. (Eds) (1994). Random factors in ANOVA (Quantitative applications in the social sciences). Sage Publications. 80 pp.


Jamieson, J. (2005). Analysis of covariance (ANCOVA) with difference scores. International Journal of Psychophysiology 52 (3), 277-283.


Janky, D.G. (2000). Sometimes pooling for analysis of variance hypothesis tests: A review and study of a split-plot model. The American Statistician 54 (4), 269-279.


Jenkins, S.H. (2002). Data pooling and type I errors: a comment on Leger & Didrichsons. Animal Behaviour 63, F9-F11. [free pdf]


Kahler, E. et al. (2008). A parametric analysis of ordinal quality-of-life data can lead to erroneous results. Journal of Clinical Epidemiology 61 (5), 475-480. [free pdf]


Keselman, K.J. (1998) Testing treatment effects in repeated measures designs: An update for psychophysiological researchers. Psychophysiology 35, 470-478. [free pdf]


Keselman, H.J. et al. (2000). Testing treatment effects in repeated measures designs: trimmed means and bootstrapping. 53 (2), 175-191. [free pdf]


Keselman, H.J. et al. (2001). The analysis of repeated measures designs: A review . British Journal of Mathematical and Statistical Psychology 54 (1), 1-20. [free pdf]


Kirk, R.E. (1995). Experimental design : Procedures for behavioral sciences. 3rd Edn. Wadsworth.


Kolasa, J. & Rollo, D.C. (1991). The heterogeneity of heterogeneity: a glossary. pp 1-23 in Kolasa, J & Pickett, S.T.A. (eds). Ecological heterogeneity. Springer Verlag, New York.


Kowalski, C.J. et al. (1994). ANCOVA for nonparallel slopes: the Johnson-Neyman technique. International Journal of Bio-Medical Computing 37, 273-286. 10.1016/0020-7101(94)90125-2 [free pdf]


Kromrey, J.D. & Dickinson, W.B. (1996). Detecting unit of analysis problems in nested designs: Statistical power and Type I error rates of the F test for groups-within-treatments effects. Educational and Psychological Measurement 56 (2), 215-231.


Kroodsma, D.E. et al. (2001). Pseudoreplication in playback experiments, revisited a decade later . Animal Behaviour 61 (5), 1029-1033.


Kusuoka, H. & Hoffman, J.I.E. (2002). Advice on statistical analysis for circulation research. Circulation Research 91, 662-671. [free pdf]


Langsrud, Ø (2003). ANOVA for unbalanced data: Use Type II instead of Type III sums of squares. Statistics and Computing 13, 163-167."


Lee, C.J. et al (2008). Statistical analysis of field trials with changing treatment variance. Agronomy Journal 100 (3), 1311-1320.


Lee, Y. & Nelder, J. (2003). False parsimony and its detection with GLMs. Journal of Applied Statistics 30 (5), 477 - 483.


Leger, D.W. & Didrichsons, I.A. (1998). An assessment of data pooling and some alternatives. Animal Behaviour 48, 823-832. [free pdf]


Lentner, M. et al. (1989). The efficiency of blocking: how to use MS(Blocks)/MS(Error) correctly.The American Statistician 43 (2), 106-108.


Lew, M. (2007). Good statistical practice in pharmacology. Problem 2. British Journal of Pharmacology 152, 299-303. [free pdf]


Liermann, M et al. (2004). Random denominators and the analysis of ratio data. Environmental and Ecological Statistics 11 (1), 55-71.


Littell, R.C.. et al. (1998). Statistical analysis of repeated measures data using SAS procedures. Journal of Animal Science 76 (4), 1216-1231. [free pdf]


Littell, R.C. (2002). Analysis of unbalanced mixed model data: A case study comparison of ANOVA versus REML/GLS. Journal of Agricultural, Biological, and Environmental Statistics 7 (4), 472-490.


Lively, C.M. & McKone, M.J. (1994). Choosing an appropriate ANOVA for experiments conducted at few sites. Oikos 69 (2), 335.


Logan, M. (2010). Biostatistical design and analysis using R: a practical guide. Wiley-Blackwell.


Looney, S.W. & Stanley, W.B. (1989). Exploratory repeated measures analysis for two or more groups: review and update. American Statistician 43 (4), 220-225. [free pdf]


Loughin, T. M. (2007). Improved experimental design and analysis for long-term experiments. Analysis of Unreplicated Experiments (Symposium) Crop Science 46, 2492-2502.


McCall, R.B. and Appelbaum, M.I. (1973) Bias in the analysis of repeated-measures designs: Some alternative approaches. Child Development 44 (3), 401-415.


McHugh, R.B. (1964). Need the randomized block design be replicated. The Journal of Experimental Education 33 (2), 169-174.


McKone, M.J. & Lively, C.M. (1993). Statistical analysis of experiments conducted at multiple sites. Oikos 67 (1), 184-186.


McCoy, M.W. et al. (2006). Size correction: comparing morphological traits among populations and environment. Oecologia 148, 547-554. [free pdf]


McLean, R.A. & Anderson. V.L. (1980). Note on a clarification of restriction errors. Department of Statistics, Mimeograph series #80-19, Purdue University. [free pdf]


Mead, R. et al. (2002). Statistical Methods in Agriculture and Experimental Biology 3rd Edn. Chapman & Hall. 488 pp.


Meek, G.E. et al. (2007). Small F-ratios: Red flags in the linear model. Journal of Data Science 5, 199-215. [free pdf]


Miller, G.A. & Chapman, J.P. (2001) Misunderstanding analysis of covariance. Journal of Abnormal Psychology 110 (1), 40-48. [free pdf]


Montgomery, A.A. (2003). Design, analysis and presentation of factorial randomised controlled trials. BMC Medical Research Methodology 3, 26. [free pdf]


Neter, J. et al. (1985) Applied linear regression models. Irwin, Homewood, Illinois. [not available in full on line]


Newman, J.A. et al. (1997). Blocking factors and hypothesis tests in ecology: Is your statistics text wrong? Ecology 78 (5), 1312-1320.[1312:BFAHTI]2.0.CO;2


Olejnik, S.F. & Algina, J. (1985). A review of nonparametric alternatives to analysis of covariance. Evaluation Review 9 (1), 51-83.


O'Neill, M.E. & Mathews, K.L. (2002). Levene tests of homogeneity of variance for general block and treatment designs. Biometrics 58 (1), 216-224.


Ottenbacher, K.J. (1991). Interpretation of interaction in factorial analysis of variance design. Statistics in Medicine 10 (10), 1565-1571.


Palmer, A.A. & Airey, D.C. (2003). Inappropriate choice of the experimental unit leads to dramatic overestimation of the significance of quantitative trait loci for prepulke inhibition and startle response in recombinant congenic mice. Neuropsychopharmacology 28, 818. [free pdf]


Paterson, S. & Lello, J. (2003). Mixed models: getting the best use of parasitological data. TRENDS in Parasitology 19 (8), 370-375. [free pdf]


Patterson. H.D. (1951). Change-Over Trials. Journal of the Royal Statistical Society. Series B (Methodological) 13 (2), 256-271.


Payne, R.W. (2006). New and traditional methods for the analysis of unreplicated experiments. Analysis of Unreplicated Experiments (Symposium) Crop Science 46, 2476-2481.


Perry, J.N. et al. (1980). Latin Square designs in field experiments involving insect sex attractants. Ecological Entomology 5 (4), 385-396. 10.1111/j.1365-2311.1980.tb01162.x


Piepho, H.-P. et al. (2009). Data transformation in statistical analysis of field trials with changing treatment variance. Agronomy Journal 101, 865-869.


Pilla, R.S. (2005). Statistical analysis of modified complete randomized designs: applications to chemo-orientation studies. The Journal of Experimental Biology 208, 1267-1276.


Preacher, K.J. et al. (2006). Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics 31 (4), 437-448.,Curran&Bauer(2006).pdf [free pdf]


Quené, H. & van den Bergh, H. (2004) On multi-level modeling of data from repeated measures designs: a tutorial. Speech Communication 43 (1-2), 103-121.


Quinn, G.P. & Keough, M.J. (2002). Experimental design and data analysis for biologists. Cambridge University Press, Cambridge, UK. 537 pp.


Raubenheimer, D & Simpson, S.J. (1992). Analysis of covariance: an alternative to nutritional indices. Entomologia Experimentalis et Applicata 62 (3), 221-231.


Riley, J. & Edwards, P. (2008). Statistical aspects of aquaculture research: pond variability and pseudoreplication. Aquaculture Research 29 (4), 281 - 288.


Rouanet, H. & Lépine, D. (1970). Comparison between treatments in a repeated-measurement design: Anova and multivariate methods. The British Journal of Mathematical and Statistical Psychology 23, 147-163.


Samuels, M.L. et al. (1988). Are blocks different from random factors? Technical Report #88-26, Purdue University and Cornell University. [free pdf]


Scariano, S. M. & Davenport, J. M. (1987). The effects of violations of independence in the oneway ANOVA. The American Statistician 41 (2), 123-129.


Schaaljea, G.B. & Despaina, D.J. et al. (1966). Robustness of homogeneity of variance tests for randomized complete block data. Communications in Statistics - Simulation and Computation 25 (4), 961 - 977.


Schwarz, C.J. (1993). The mixed-model ANOVA: The truth, the computer packages, the books. Part I: Balanced data . The American Statistician 47 (1), 48-59.


Senn, S. (2001) Change from baseline and analysis of covariance revisited. Statistics in Medicine 25 (24), 4334 - 4344.


Serrano, E. et al. (2008). A half a century of measuring ungulate body condition using indices: is it time for a change? European Journal of Wildlife Research 54 (4), 675-680.


Shen, J. (1995). On choosing an appropriate ANOVA for ecological experiments. Oikos 73 (3), 404.


Skinner, B.F. (1948). Walden Two. Hackett Publishing Co., Indiana. [review]


Smart, T.S. et al. (2008). Statistical aspects of aquaculture research: one-and two-season cross-over designs. Aquaculture Research 29 (2), 153 - 158.


St-Pierre, N.R. (2006). Design and analysis of pen studies in the animal sciences. Journal of Dairy Science 90, E87-E99.


Sullivan, L.M. (2008). Repeated Measures. Circulation 117, 1238-1243. [free pdf]


Tamhane, A.C. (2009). Statistical analysis of designed experiments: Theory and applications. Wiley, New York. 679 pp.


Van Breukelen, G.J.P. (2006). ANCOVA versus change from baseline had more power in randomized studies and more bias in nonrandomized studies. Journal of Clinical Epidemiology 59 (9), 920-925. 10.1016/j.jclinepi.2006.02.007 [free pdf]


Vanderburgh, P.M. et al. (1998). Nonparallel slopes using analysis of covariance for body size adjustment may reflect inappropriate modeling. Measurement in Physical Education and Exercise Science 2 (2), 127 - 135. [free pdf]


Vasey, M.W. & Thayer, J.F. (1987) The continuing problem of false positives in repeated measures ANOVA in psychophysiology: A multivariate solution. Psychophysiology 24 (4), 479 - 486.


Vickers, A.J. (2001). The use of percentage change from baseline as an outcome in a controlled trial is statistically inefficient: a simulation study. BMC Medical Research Methodology 1: 6 [free pdf]


Vickers, A.J. (2005). Analysis of variance is easily misapplied in the analysis of randomized trials: A critique and discussion of alternative statistical approaches. Psychosomatic Medicine 67, 652-655. [free pdf]


Vickers, A.J. (2005). Parametric versus non-parametric statistics in the analysis of randomized trials with non-normally distributed data. BMC Medical Research Methodology 5: 35. [free]


Vickers, A.J. & Altman, D.G. (2001). Analysing controlled trials with baseline and follow up measurements. BMJ 323, 1123-1124 (10 November). [free pdf]


Wilcox, R. R. (1987). Pairwise comparisons of J independent regression lines over a finite interval, simultaneous pairwise comparison of their parameters, and the Johnson-Neyman technique. British Journal of Mathematical and Statistical Psychology 40, 80-93.


Wilcox, R.R. et al. (2000) Repeated measures ANOVA: Some new results on comparing trimmed means and means. British Journal of Mathematical and Statistical Psychology 53 (1), 69-82.


Wildt, A.R. & Ahtola, O.T. (1978). Analysis of covariance . Sage Publications. 91 pp.


Wilk, M.B. & Kempthorne, O. (1955). Fixed, mixed and random models. Journal of the American Statistical Association 50 (272), 1144-1167.