Timeline for What is the benefit of using repeated measures in a mixed model vs. running a general linear model on the average of the repeated measures?
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| Jan 21, 2016 at 14:47 | vote | accept | Ederi | ||
| Jan 21, 2016 at 14:46 | answer | added | Ederi | timeline score: 1 | |
| Jan 15, 2016 at 11:25 | comment | added | Ederi | Thanks! There is some missing data for the repeated measures, so that's definitely something I should think about. | |
| Jan 15, 2016 at 10:56 | comment | added | Björn | One difference will occur, if you have some missing values for one of the measurements. The mean would look like its more variable, while repeated measures would "correctly" assume it is not more variable, but rather that one of the repeated observation is missing and implicitly impute it under missing at random (rather than by the mean of the other observations with no uncertainty around it, as using the mean of two or 1 available observations would). | |
| Jan 15, 2016 at 10:21 | history | edited | Ederi | CC BY-SA 3.0 |
added 10 characters in body
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| Jan 15, 2016 at 10:14 | history | asked | Ederi | CC BY-SA 3.0 |