Ilstrup D M
Section of Biostatistics, Mayo Medical School, Mayo Clinic, Rochester, Minnesota 55905.
Clin Microbiol Rev. 1990 Jul;3(3):219-26. doi: 10.1128/CMR.3.3.219.
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.
普通实验室科学家或医生看待统计方法时,有时会心怀恐惧与不安,偶尔会厌恶,很少会喜爱。医学界可能永远不会爱上统计学,但也不必厌恶它。诚然,统计科学有时数学性很强,总是富有哲学性,偶尔还晦涩难懂,但对于大多数医学研究而言,它可以变得易于接受。本文的目的是概述一组有限的分析方法,研究人员应根据所研究变量的性质和实验设计来选择这些方法。当对合适的分析方法有任何疑问时,鼓励读者寻求专业统计学家的建议。统计学家还可以帮助研究人员解决与统计检验无关的问题,如质量控制、反应变量和比较组的选择、随机化以及反应变量评估的盲法。