Parameters behind "nonparametric" statistics: Kendall's tau,Somers' D and median differences
File(s)
Accepted version
Author(s)
Newson, R
Type
Journal Article
Abstract
So-called nonparametric statistical methods are often in fact based on
Start Page
45
End Page
64
Journal / Book Title
Stata Journal
Volume
2
Issue
1
Copyright Statement
© 2002 Stata Corporation. The Stata Journal and the contents of the supporting files (programs, datasets, and
help files) are copyright by StataCorp LP. The contents of the supporting files (programs, datasets, and
help files) may be copied or reproduced by any means whatsoever, in whole or in part, as long as any copy
or reproduction includes attribution to both (1) the author and (2) the Stata Journal.
This paper is made available by permission of Stata Corporation
help files) are copyright by StataCorp LP. The contents of the supporting files (programs, datasets, and
help files) may be copied or reproduced by any means whatsoever, in whole or in part, as long as any copy
or reproduction includes attribution to both (1) the author and (2) the Stata Journal.
This paper is made available by permission of Stata Corporation
Subjects
Confidence intervals
Gehan test
Harrell's C
Hodges-Lehmann median difference
Kendall's tau
Nonparametric methods
Rank correlation
Rank-sum test
ROC area
Somers' D
Theil median slope
Wilcoxon test