Timeline for Which post-hoc is more valid for multiple comparison of an unbalanced lmer-model: lsm or mcp?
Current License: CC BY-SA 3.0
6 events
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Apr 4, 2016 at 13:08 | comment | added | evoked_potential | Thanks for pointing out that the underlying distributions differ. In my example, the degrees of freedom were large indeed, so you may be right that this is the cause for the numbers being practically identical. | |
Mar 31, 2016 at 14:36 | comment | added | Stéphane Laurent | I don't think the methods are the same. The first method uses a "z" statistic, whereas the second one uses a "t" statistic (look also the outputs here). I don't know the details, but I guess the first method is an asymptotic one whereas the second one is more appropriate for small sample sizes. In this example the absence of difference may be due to a large degrees of freedom (a large sample size). cc @evoked_potential | |
Oct 29, 2014 at 14:21 | vote | accept | evoked_potential | ||
Oct 29, 2014 at 14:21 | comment | added | evoked_potential |
Thanks you two, I conclude from your answers, that there is no difference in calculation between lsm and mcp (as the results suggest, but it is good to be sure!).
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Oct 24, 2014 at 2:26 | comment | added | Russ Lenth |
What Ben says is exactly correct. lsm is just another way of generating the same set of linear contrast coefficients, which are then passed to glht . There are other sets of contrasts that may not be available in both.
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Oct 19, 2014 at 0:13 | history | answered | Ben Bolker | CC BY-SA 3.0 |