Most clinical investigators approach statistics in one of three ways: (1) total avoidance; (2) mindless “number crunching” often facilitated by ready access to microcomputers with statistical software packages; or (3) blind faith in the advice of statistical consultants. Unfortunately, none of these approaches is particularly conducive to research of high quality and utility.
KeywordsNull Hypothesis Central Limit Theorem Research Hypothesis Renovascular Hypertension Serum Sodium Concentration
Unable to display preview. Download preview PDF.
- 1.Armitage P. Statistical Methods in Medical Research. Oxford: Blackwell Scientific Publications, 1971.Google Scholar
- 2.Colton T. Statistics in Medicine. Boston: Little, Brown and Company, 1974.Google Scholar
- 3.Swinscow TDV. Statistics at Square One. London: British Medical Association, 1976.Google Scholar
- 4.Ingelfinger JA, Mosteller F, Thibodeau LA, Ware JH. Biostatistics in Clinical Medicine. New York: Macmillan Publishing Co., 1983.Google Scholar
- 6.Smart JV. Elements of Medical Statistics. Springfield: Charles C. Thomas, 1963.Google Scholar
- 8.Snedecor GW, Cochran WG. Statistical Methods, 7th Edition. Ames: Iowa State Unviersity Press, 1980.Google Scholar
- 9.Fleiss JL. Statistical Methods for Rates and Proportions, 2nd Edition. New York: John Wiley & Sons, 1981.Google Scholar
- 10.Kleinbaum DG, Kupper LL, Morgenstern H. Epidemiologic Research: Principles and Quantitative Methods. Belmont: Lifetime Publications, 1982.Google Scholar
- 11.Kleinbaum DG, Kupper LL. Applied Regression Analysis and Other Multivariable Methods. North Scituate: Duxbury Press, 1978.Google Scholar