Statistical methods in microbiology

Author:

Ilstrup D M1

Affiliation:

1. Section of Biostatistics, Mayo Medical School, Mayo Clinic, Rochester, Minnesota 55905.

Abstract

Statistical methodology is viewed by the average laboratory scientist, or physician, sometimes with fear and trepidation, occasionally with loathing, and seldom with fondness. Statistics may never be loved by the medical community, but it does not have to be hated by them. It is true that statistical science is sometimes highly mathematical, always philosophical, and occasionally obtuse, but for the majority of medical studies it can be made palatable. The goal of this article has been to outline a finite set of methods of analysis that investigators should choose based on the nature of the variable being studied and the design of the experiment. The reader is encouraged to seek the advice of a professional statistician when there is any doubt about the appropriate method of analysis. A statistician can also help the investigator with problems that have nothing to do with statistical tests, such as quality control, choice of response variable and comparison groups, randomization, and blinding of assessment of response variables.

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Microbiology (medical),Public Health, Environmental and Occupational Health,General Immunology and Microbiology,Epidemiology

Reference21 articles.

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2. Cochran W. G. and G. M. Cox. 1957. Experimental designs p. 24-25 2nd ed. John Wiley & Sons Inc. New York.

3. Cohen J. 1977. Statistical power analysis for the behavioral sciences revised ed. Academic Press Inc. New York.

4. Dixon W. J. and F. J. Massey Jr. 1969. Introduction to statistical analysis p. 77-80 116-118 156-163 344-345 509 3rd ed. McGraw-Hill Book Co. New York.

5. Friedman L. M. C. D. Furberg and D. L. DeMets. 1985. Fundamentals of clinical trials 2nd ed. PSG Publishing Co. Littleton Mass.

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