Open AccessStatistical processing of pharmacological experiments results measured in ordinal and quantitative scales, if it is impossible to analyze using parametric methods
Author(s) -
И. Б. Цорин
Publication year - 2021
Publication title -
farmakokinetika i farmakodinamika
Language(s) - English
Resource type - Journals
eISSN - 2686-8830
pISSN - 2587-7836
DOI - 10.37489/2587-7836-2020-3-3-24
Subject(s) - ordinal data , ordinal scale , parametric statistics , statistics , statistical analysis , computer science , nonparametric statistics , descriptive statistics , level of measurement , mathematics , data mining , econometrics , artificial intelligence
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.