Statistical processing of pharmacological experiments results measured in ordinal and quantitative scales, if it is impossible to analyze using parametric methods
Open Access
- 22 June 2021
- journal article
- Published by Publishing House OKI in Pharmacokinetics and Pharmacodynamics
- No. 3,p. 3-24
- https://doi.org/10.37489/2587-7836-2020-3-3-24
Abstract
The article discusses descriptive statistics of data measured in ordinal and quantitative scales, and criteria for determining the statistical significance of differences between samples when it is impossible to analyze using parametric methods. Special attention is paid to the problem of multiple comparisons of this type of data. For each method, examples of processing data obtained in pharmacological studies are given.Keywords
This publication has 8 references indexed in Scilit:
- Approximations of the critical region of the fbietkan statisticCommunications in Statistics - Theory and Methods, 1980
- New approximations to the exact distribution of the kruskal-wallis test statisticCommunications in Statistics - Theory and Methods, 1976
- An approximation to the exact distribution of the wilcoxon-mann-whitney rank sum test statisticCommunications in Statistics - Theory and Methods, 1976
- Use of a t-statistic as an approximation to the exact distribution of the wildcoxon signed ranks test statisticCommunications in Statistics, 1974
- New Tables for Multiple Comparisons with a ControlBiometrics, 1964
- One Sample Limits of Some Two-Sample Rank TestsJournal of the American Statistical Association, 1964
- Multiple Comparisons Using Rank SumsTechnometrics, 1964
- Estimates of Location Based on Rank TestsThe Annals of Mathematical Statistics, 1963