Timeline for Is there an easy way to calculate significant difference between two largely overlapping correlations from same sample?
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
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| Feb 19, 2013 at 21:20 | review | Close votes | |||
| Feb 20, 2013 at 12:51 | |||||
| Jan 26, 2013 at 7:03 | history | tweeted | twitter.com/#!/StackStats/status/295064359749689344 | ||
| Jan 26, 2013 at 1:14 | history | edited | rolando2 | CC BY-SA 3.0 |
grammar and formatting
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| Jan 26, 2013 at 1:10 | comment | added | rolando2 | Based on the abstract the Zou paper does look dead-on as one that would address your problems. If the fact that the 3 scores share some components makes you leery of using Fisher's Z transformation, the same problem would seem to apply to a regression approach. | |
| Dec 26, 2012 at 23:53 | answer | added | Greg Snow | timeline score: 1 | |
| May 29, 2012 at 23:44 | answer | added | Michael R. Chernick | timeline score: -1 | |
| May 29, 2012 at 20:18 | comment | added | Michael R. Chernick | My thinking is that those correlations are all too close to each other to detect a difference statistically for the given small sample size. | |
| May 29, 2012 at 19:40 | history | edited | onestop | CC BY-SA 3.0 |
link article title to DOI
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| May 29, 2012 at 19:10 | history | asked | Behacad | CC BY-SA 3.0 |