Abstract
Statistics is defined by the Medical Subject Headings (MeSH) thesaurus as the science and art of collecting, summarizing, and analyzing data that are subject to random variation. The two broad categories of summarizing and analyzing data are referred to as descriptive and inferential statistics. This chapter considers the science and art of summarizing data where descriptive statistics and graphics are used to display data. In this chapter, we discuss the fundamentals of descriptive statistics, including describing qualitative and quantitative variables. For describing quantitative variables, measures of location and spread, for example the standard deviation, are presented along with graphical presentations. We also discuss distributions of statistics, for example the variance, as well as the use of transformations. The concepts in this chapter are useful for uncovering patterns within the data and for effectively presenting the results of a project.
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References
Medical Subjects Headtions (MeSH). Bethesda: National Library Of Medicine. http://www.nlm.nih.gov/mesh/MBrowser.html. Accessed April 2, 2007.
McPherson, G. (1990) Statistics in Scientific Investigation: Its Basis, Application and Interpretation. New York, Springer-Verlag.
Altman, D. (1991) Practical Statistics for Medical Research. London, Chapman & Hall.
Bland, M. (2000) An Introduction to Medical Statistics, 3rd ed. New York, Oxford University Press.
Altman, D. G., and Bland J. M. (1994) Quartiles, quintiles, centiles, and other quantiles. Br. Med. J. 309, 396.
Wilcox, R. (1998) Trimming and Winsorization. In: Armitage, P., and Colton, T. Encyclopedia of Biostatistics. New York, John Wiley & Sons, pp. 4588–4590.
Altman, D. G., Schulz, K. F., Moher, D., Egger, M., Davidoff, F., Elbourne, D., Gøtzsche, P. C., and Lang, T. for the CONSORT Group. (2001) The Revised CONSORT Statement for Reporting Randomized Trials: explanation and elaboration. Ann. Intern. Med. 134, 663–694.
Finney, D. J. (1955) Experimental Design and Its Statistical Basis. Chicago, The University of Chicago Press.
Pagano, M., and Gauvreau, K. (2000) Principles of Biostatistics, 2nd ed. Pacific Grove, Duxbury.
Altman, D., and Bland, J. M. (1996) Presentation of numerical data. Br. Med. J. 312, 572.
Aoki, K., and Petrov, A. (2003) A comprehensive microarray data management approach. In: Hardiman, G. Microarrays Methods and Applications. Eagleville, DNA Press LLC, pp. 171–192.
Bland, J. M., and Altman, D. G. (1996) Logarithms. Br. Med. J. 312, 700.
Cleveland, W. S. (1993) Visualizing Data. Summit, N.J.: Hobart Press.
Draghici, S. (2003) Data Analysis Tools for DNA Microarrys. Boca Raton, Chapman & Hall/CRC.
Everitt, B. (2005) An R and S-PLUS® Companion to Multivariate Analysis. London, Springer-Verlag.
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Nick, T.G. (2007). Descriptive Statistics. In: Ambrosius, W.T. (eds) Topics in Biostatistics. Methods in Molecular Biology™, vol 404. Humana Press. https://doi.org/10.1007/978-1-59745-530-5_3
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DOI: https://doi.org/10.1007/978-1-59745-530-5_3
Publisher Name: Humana Press
Print ISBN: 978-1-58829-531-6
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