Statistical methods in microbiology.
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.
Ilstrup
D M
DM
Section of Biostatistics, Mayo Medical School, Mayo Clinic, Rochester, Minnesota 55905.
D006801:Humans; D007239:Infections / Q000175:diagnosis; D008828:Microbiological Techniques; D016011:Normal Distribution; D011237:Predictive Value of Tests; D011336:Probability; D011446:Prospective Studies; D012680:Sensitivity and Specificity; D013223:Statistics as Topic