1993
DOI: 10.4135/9781412985291
|View full text |Cite
|
Sign up to set email alerts
|

Nonparametric Measures of Association

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
72
0

Year Published

1996
1996
2017
2017

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 108 publications
(73 citation statements)
references
References 0 publications
1
72
0
Order By: Relevance
“…Patients > comparison subjects and comparison subjects > patients differences were integrated by coding them with values of 1 and −1. Associations between all pairs of regions were assessed using Kendall's tau b (τ) (67,68), a nonparametric measure of association. Positive τ values for a pair of regions indicate that across studies, observing activation in one region increases the likelihood of observing activation in the other (i.e., either hyper-or hypoactivation tends to co-occur).…”
Section: Coactivation Analysismentioning
confidence: 99%
“…Patients > comparison subjects and comparison subjects > patients differences were integrated by coding them with values of 1 and −1. Associations between all pairs of regions were assessed using Kendall's tau b (τ) (67,68), a nonparametric measure of association. Positive τ values for a pair of regions indicate that across studies, observing activation in one region increases the likelihood of observing activation in the other (i.e., either hyper-or hypoactivation tends to co-occur).…”
Section: Coactivation Analysismentioning
confidence: 99%
“…Associations between each voxel and each component were assessed using Kendall's Tau-b, referred to here as τ (Gibbons, 1993;Gibbons et al, 2003), a nonparametric measure of association that does not require normally distributed data and thus, unlike Pearson's r, is appropriate for indicator data. For each voxel, we computed τ with each component.…”
Section: Functional Group Analysis: Implementationmentioning
confidence: 99%
“…Note that it incorporates unigram probabilities as well as the two distributions q and r. Finally, Kendall's τ , which appears in work on clustering similar adjectives (Hatzivassiloglou and McKeown, 1993;Hatzivassiloglou, 1996), is a nonparametric measure of the association between random variables (Gibbons, 1993). In our context, it looks for correlation between the behavior of q and r on pairs of verbs.…”
Section: Distributional Similarity Functionsmentioning
confidence: 99%