2024-03-28T21:26:48Z
https://niigata-u.repo.nii.ac.jp/oai
oai:niigata-u.repo.nii.ac.jp:00022607
2022-12-15T03:52:55Z
453:456
471:537:538:1201
医学における統計学の応用について : (第2編)平均値の差の検定を中心として
医学における統計学の応用について : (第2編)平均値の差の検定を中心として
An Application of Statistical Methods to Medical Science (Part II) on Tests for Two Means
遠藤, 和男
tests of normality
paired t-test
Student's t-test
Welch's t-test
Wilcoxon's rank sum test
正規性の検定
対応のあるt検定
スチューデントのt検定
ウェルチのt検定
ウィルコクスンの順位和検定
When the researchers evaluate the results of experiment by using statistical methods, the most important task for them is to understand whether or not their data have continuity. Biomedical data are roughly classified into two types; one is continuous variate (metric data), and the other is discrete one (categorical data), Depending on the type of data, the different statistical methods should be used. The second important task is to understand whether their data have normality or not. When their data are not thought to follow normal distribution, nonparametric methods such as Wilcoxon's rank sum test should be applied. Since the author has already reported how to deal with discrete variates elsewhere, the statistical methods to evaluate the continous variates are discribed in this paper. The present article is chiefly stressed on the tests of two means, because they have been widely used in the medical field.
新潟医学会
1990-02
jpn
departmental bulletin paper
http://hdl.handle.net/10191/33678
https://niigata-u.repo.nii.ac.jp/records/22607
AN00182415
00290440
新潟医学会雑誌
新潟医学会雑誌
104
2
78
85
https://niigata-u.repo.nii.ac.jp/record/22607/files/104(2)_78-85.pdf
application/pdf
1.3 MB
2019-08-16