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Statistics bibliography 06 - stats

Anscombe, F.J. (1948). The transformation of Poisson, binomial and negative-binomial data. Biometrika 35 (3-4), 246-254.


Aebischer, N.J. et al. (1993) Compositional analysis of habitat use from animal radio-tracking data. Ecology 74 (5), 1313-1325.


Agresti, A. & Coull, B.A. (1998) Approximate is better than 'exact' for interval estimation of binomial proportions.. The American Statistician. 52 (2),119-126.


Agresti, A. & Min, Y. (2001). On small-sample confidence intervals for parameters in discrete distributions. Biometrics. 57 (3), 963-971.


Agresti, A. & Caffo, B. (2000). Simple and effective confidence intervals for proportions and differences of proportions result from adding two successes and two failures. The American Statistician 54 (4), 280-288.


Agresti, A. (2001). Exact inference for categorical data: recent advances and continuing controversies. Statistics in Medicine 20 (17-18), 2709-2722.


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


Agresti, A. & Gottard, A. (2005). Comment: Randomized confidence intervals and the mid-P approach. Statistical Science 20 (4), 367-371. [free pdf]


Alf, C & Lohr, S. (2007). Sampling assumptions in introductory statistics classes. The American Statistician 61 (1), 71-77. [free pdf]


Bacon, F. (1597). De Haeresibus in Meditationes Sacrae. Published by Kessinger Publishing (1996).


Bartlett, M.S. (1936). The square-root transformation in analysis of variance. Journal of the Royal Statistical Society 3 (1), 68-78.


Bartlett, M.S. (1947). The use of transformations. Biometrics 3 (1), 39-52.


Belia, S. et al. (2005). Researchers misunderstand confidence intervals and standard error bars. Psychological Methods 10 (4), 389-396. [free pdf]


Berry, G. & Armitage, P. (1995). Mid-P confidence intervals: a brief review. The Statistician 44 (4), 417-423. [free pdf]


Blaker, H. (2000). Confidence curves and improved exact confidence intervals for discrete distributions. The Canadian Journal of Statistics 28 (4), 783-798. [free pdf]


Bland J.M. & Altman D.G. (1996). Transforming data. BMJ 312, 770 (23 March). [free]


Bland J.M. & Altman D.G. (1996). Transformations, means, and confidence intervals. BMJ 312, 1079 (27 April). [free pdf]


Bland J.M. & Altman D.G. (1996). The use of transformation when comparing two means. BMJ 312, 1153 (4 May). [free pdf]


Bland, M. (2000). An introduction to medical statistics. 3rd Edition Oxford University Press, Oxford.


Brown, L.D. et al. (2001). Interval estimation for a binomial proportion. Statistical Science 16 (2), 101-133. [free pdf]


Box, G.E.P. & Cox, D.R. (1964). An analysis of transformations. Journal of the Royal Statistical Society, Series B 26 (2), 211-252.


Buckland, S.T. et al. (1993). Distance sampling : Estimating abundance of biological populations. Chapman & Hall, London. [free on-line book pdf]


Cai, Y. & Krishnamoorthy, K. (2004). A simple improved inferential method for some discrete distributions. Computational Statistics & Data Analysis 48 (3), 605-621. [free pdf]


Carpenter, J. (1999). Test inversion bootstrap confidence intervals. Journal of the Royal Statistical Society B 61 (1), 159-172


Carpenter, J. & Bithell, J. (2000). Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians. Statistics in Medicine 19 (9), 1141-1164.<1141::AID-SIM479>3.0.CO;2-F [free pdf]


Chernick, M.R. (1999). Bootstrap methods, A practitioners guide. Wiley.


Cochran, W.G. (1977). Sampling techniques. 3rd Edn. John Wiley & Sons, New York.


Cohen, G.R. & Yang, S.-Y. (1994). Mid-p confidence intervals for the poisson expectation. Statistics in Medicine 13 (21), 2189-2203.


Clopper, C. & Pearson, E.S. (1934). The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika 26 (2), 404-413.


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


Collett, D. (1991). Modelling binary data. Chapman & Hall, London.


Crowley, P.H. (1992). Resampling methods for computation-intensive data analysis in ecology and evolution. Annual Review of Ecology and Systematics 23, 405-447. http://www/ [free pdf]


Curran-Everett, D. (2008). Explorations in statistics: confidence intervals. Advances in Physiology Education 33, 87-90. [free pdf]


Cumming, G. et al. (2004). Replication, and researchers' understanding of confidence intervals and standard error bars. Understanding Statistics 3, 299-311.


Cumming, G. & Finch, S. (2005). Inference by eye: Confidence intervals, and how to read pictures of data. American Psychologist 60 (2), 170-180.'s%20by%20Eye.2005.pdf [free pdf]


Daly, L.E. (1998). Confidence limits made easy: interval estimation using a substitution method. American Journal of Epidemiology 147 (8), 783-790. [free pdf]


Davison, A.C. & Hinkley, D.V. (2006). Bootstrap methods and their application. 8th Edn. Cambridge University Press.


Davison, A.C. & Kuonen, D. (2002). An introduction to the bootstrap with applications in R. Statistical Computing & Statistical Graphics Newsletter 13 (1), 6-11. [free pdf]


Denwood, M.J. et al. (1998) Comparison of three alternative methods for analysis of equine Faecal Egg Count Reduction Test data . Preventive Veterinary Medicine 93 (1), 316-323. [free pdf of original thesis]


DiCiccio T. & Efron B. (1996). Bootstrap confidence intervals. Statistical Science 11 (3), 189-228. [free pdf]


Dixon, P.M. (2002).. Bootstrap resampling. In: El-Shaarawi, A. & Pegorsch, W.W. (Ed) Encyclopedia of Environmetrics Wiley [free pdf]


Conan Doyle, A. (1890). The sign of four. [free html]


Efron, B. & Gong, G. (1983) A leisurely look at the bootstrap, the jackknife, and cross-validation. The American Statistician 37 (1), 36-48. [free pdf]


Efron B. & Tibshirani R. (1993). An introduction to the bootstrap. Chapman and Hall, New York.


Eypasch, E. et al. (1995). Probability of adverse events that have not yet occurred: a statistical reminder. BMJ 311, 619-620 (2 September). [free pdf]


Fleiss, J.L. et al. (2003). Statistical methods for rates and proportions. 3rd edn. John Wiley & Sons, New York.


Freeman, M.F. & Tukey, J.W. (1950). Transformations related to the angular and the square root. Annals of Mathematical Statistics 21 (4), 607-611.


García-Pérez, M.A. (2005). On the confidence interval for the binomial parameter. Quality and Quantity 39 (4), 467-481.


Garwood, F. (1936). Fiducial limits for the Poisson distribution. Biometrika 28, 437-442. [free pdf]


Gaston, K.J. & McArdle, B. et al. (1994). The temporal variability of animal abundances: measures, methods and patterns. Philosophical Transactions of the Royal Society of London B 345 (1314), 335-358. [free pdf]


Greenland, S. (2004). Interval estimation by simulation as an alternative to and extension of confidence intervals. International Journal of Epidemiology 33 (6), 1389-1397. [free pdf]


Grunkemeier, G.L. & Wu, Y. (2004). Bootstrap resampling methods: Something for nothing? Annales of Thoracic Surgery 77, 1142-1144. [free pdf]


Haddon, M. (2010) Modelling and Quantitative Methods in Fisheries. 2nd Edn. Chapman & Hall/CRC. 480 pp.


Hall, P. (1988a). On symmetric bootstrap confidence intervals. Journal of the Royal Statistical Society B 50 (1), 35-45.


Hall, P. (1988b). Theoretical comparison of bootstrap confidence intervals. The Annals of Statistics 16 (3), 927-953.


Hall, P. (1992). The bootstrap and Edgeworth expansion. Springer-Verlag, New York.


Haddon, M. (2011). Modelling and Quantitative Methods in Fisheries 2nd Edn. Chapman & Hall. 471 pp.


Hanley, J.A. & Lippman-Hand, A. (1983).. If nothing goes wrong, is everything all right? Interpreting zero numerators JAMA 249 (13), 1743-1745.


Hesterberg, T.C. (1999) . Bootstrap Tilting Confidence Intervals and Hypothesis Tests. Computing Science and Statistics 31, 389-393. Interface Foundation of North America, Fairfax Station, VA [free pdf]


Hesterberg, T.C. (2001). Bootstrap tilting diagnostics. Joint Statistical Meetings - Section on Nonparametric Statistics Proceedings of the Statistical Computing Section (CD-ROM), American Statistical Association. [free pdf]


Hesterberg, T. C. (2008a) . It's time to retire the "n >= 30" rule. Proceedings of the American Statistical Association, Statistical Computing Section (CD-ROM) [free pdf]


Hesterberg, T.C. (2008b). Bootstrap. Wiley Encyclopedia of Clinical Trials. 1-33.


Hurlbert, S.H. & Lombardi, C.M. (2003). Design and analysis: Uncertain intent, uncertain result. Book review of Quinn, G.P. & Keough, M.J. (2002). Experimental design and data analysis for biologists. CUP, New York. Ecology 84 (3), 810-812.[0810:DAAUIU]2.0.CO;2


Johnson, N.J. & Kotz, S. (1969). Discrete distributions. Houghton Mifflin, Boston.


Kabaila, P. & Byrne, J. (2000). Exact short Poisson confidence intervals. The Canadian Journal of Statistics 29 (1), 99-106.


Keene, O.N. (1995) The log transformation is special. Statistics in Medicine 14 (8), 811-819. [free pdf]


Killian, L. (1999). Finite-sample properties of percentile and percentile-t bootstrap confidence intervals for impulse responses. Review of Economics and Statistics 81, 652-660.


Kirkwood, B. & Sterne, J. (2003) 2nd Edn. Essential Medical Statistics Blackwell, Oxford.


Lehnert-Batar, A. et al. (2006). Comparison of confidence intervals for adjusted attributable risk estimates under multinomial sampling. Biometrical Journal 48 (5), 805-819.


Llorca J. & Delgado-Rodriguez M. (2000). A comparison of several procedures to estimate the confidence interval for attributable risk in case-control studies. Statistics in Medicine 19 (8), 1089-1099.<1089::AID-SIM411>3.0.CO;2-0


Manly, B.F.J. (1997). Randomization, bootstrap, and Monte Carlo methods in biology. 2nd Edn. Chapman & Hall, London.


McArdle, B. et al. 1990. Variation in the size of animal populations: patterns, problems and artefacts. Journal of Animal Ecology 59 (2), 439-454.

McGarigal, K. et al. (2000) Multivariate statistics for wildlife and ecology research. Springer-Verlag


Meyer, J.S. et al. (1986). Estimating uncertainty in population growth rates: Jackknife vs. bootstrap techniques. Ecology 67 (5) 1156-1166.


Newcombe, R. (1998). Two sided confidence intervals for the single proportion: a comparitive evaluation of seven methods. Statistics in Medicine 17 (8), 857-872.<857::AID-SIM777>3.0.CO;2-E [free pdf]


Newman, T.B. (1995). If almost nothing goes wrong, is almost everything all right? Interpreting small numerators. JAMA 274 (13), 1013.


O'Hara, R. B. & Kotze, D. J. (2010). Do not log-transform count data. Methods in Ecology and Evolution 1, 118-122. [free pdf]


Piegorsch, W. & Bailer, J. (1997). Statistics for environmental biology and toxicology. Chapman & Hall, London.


Pippard, B. (1986). In 'Goodbye to the aether' - a review of Harman, P.M. (1985). 'Wranglers and Physicists: Studies in Cambridge mathematical physics in the 19th century'. London Review of Books, March 1986.


Platt, R.W. et al. (2000). Bootstrap confidence intervals for the sensitivity of a quantitative diagnostic test. Statistics in Medicine 19 313-322.<313::AID-SIM370>3.0.CO;2-K


Poole, C. (2001). Low P-Values or narrow confidence intervals: which are more durable? Epidemiology 12 (3), 291-294. [free pdf]


Reiczigel, J. (2003). Confidence intervals for the binomial parameter: some new considerations. Statistics in Medicine 22 (4), 611-621. [free pdf]


Rothman, K.J. & Greenland, S. (1998). Chapter 13: Fundamentals of epidemiologic data analysis. pp 201-229. In: Rothman, K.J. & Greenland, S. (eds). Modern epidemiology. 2nd Edn. Lippincott, Philadelphia.


Sauro, J. & Lewis, J.R. (2005). Estimating completion rates from small saamples using binomial confidence intervals: Comparisons and recommendations. Proceedings of the Human Factors and Ergonomics Society. 49th Annual Meeting. [free pdf]


Sim, J & Reid, N. (1999). Statistical inference by confidence intervals: Issues of interpretation and utilization. Physical Therapy 79 (2), 186-195. [free pdf]


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.


Vollset, S.E. (1993). Confidence intervals for a binomial proportion. Statistics in Medicine 12 (9), 809-824.


Woodward, M. (2004). Epidemiology. Study Design and Analysis. 2nd edn. Chapman & Hall/CRC, Boca Raton. 872 pp.


Wood, M. (2004). Statistical inference using bootstrap confidence intervals. Significance 1 (4), 180-182.


Wood, M. (2005). Bootstrapped confidence intervals as an approach to statistical inference. Organisational Research Methods 8 (4), 454. wood.pdf [free pdf]


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


Zieffler, A. et al. (2011). Comparing groups: Randomization and bootstrap methods using R. Wiley-Blackwell.