Timeline for Why does Pearson's chi-squared test detect differences that the GLM model fails to detect?
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Mar 13, 2015 at 9:42 | comment | added | ttnphns | You should model (Event frequency) binomially one of the two columns. The Trial frequency is the column of row sums. Group is the factor. The results are the same as by using Likelihood ratio (not Pearson) chi-square to test your table. | |
| Mar 13, 2015 at 6:24 | history | tweeted | twitter.com/#!/StackStats/status/576267557172301824 | ||
| Mar 12, 2015 at 21:25 | vote | accept | mrb | ||
| Mar 12, 2015 at 20:54 | answer | added | gung - Reinstate Monica | timeline score: 11 | |
| S Mar 12, 2015 at 20:46 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
It was Karl Pearson not Person.
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| S Mar 12, 2015 at 20:46 | history | suggested | Hirek | CC BY-SA 3.0 |
It was Karl Pearson not Person.
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| Mar 12, 2015 at 20:42 | review | Suggested edits | |||
| S Mar 12, 2015 at 20:46 | |||||
| Mar 12, 2015 at 20:36 | history | asked | mrb | CC BY-SA 3.0 |