Timeline for Testing significance between a linear model and a linear mixed effects model
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| Mar 12, 2018 at 11:24 | comment | added | amoeba | (But the leading answer is indeed about testing the random effect, so does not really answer that question :-) | |
| Mar 12, 2018 at 11:17 | comment | added | amoeba | That one is a bit different because the models are not nested, no? It's comparing random effect to fixed effect, not random effect to an absence of random effect. | |
| Mar 12, 2018 at 11:10 | comment | added | vkehayas | @amoeba This even earlier Q&A appears to be very related to the subject as well. For future reference, the leading answer there suggests to bootstrap the likelihood ratio test statistic. | |
| Mar 9, 2018 at 9:31 | comment | added | amoeba | +1 but this threads looks a duplicate of stats.stackexchange.com/questions/141746 (which does not have a very good answer btw, so you might want to post one there too). | |
| Mar 9, 2018 at 9:20 | history | edited | vkehayas | CC BY-SA 3.0 |
Added a sentence for a potential alternative experimental design.
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| Mar 8, 2018 at 20:55 | history | answered | vkehayas | CC BY-SA 3.0 |