Medical Statistics Revolutionizes Accuracy of Research Findings
The article discusses the use of parametric and nonparametric methods in medical statistics. It criticizes common mistakes made when applying parametric methods and emphasizes that normal distribution is not always necessary. Parametric statistics can be used in various situations, depending on the proximity to the original distribution and the mean of the observations. Nonparametric methods are more precise but may lose some information by working with ranks instead of actual values.
