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Request: Pairwise contrast in estimated marginal means
Posted: Fri Mar 03, 2023 10:29 am
by ricclo
Thank you for a great software!
I would like to request that pairwise contrasts and their inference is incorporated into the modules. In the current form it is not possible to compare groups.
All the best
Re: Request: Pairwise contrast in estimated marginal means
Posted: Sat Mar 04, 2023 3:04 am
by jonathon
do you mean post-hoc tests?
jonathon
Re: Request: Pairwise contrast in estimated marginal means
Posted: Tue Mar 07, 2023 4:14 pm
by ricclo
Yes, please. I am trying to replace the need for SPSS with Jamovi and one of the functions that I tend to miss is the posthoc pairwise comparison in the estimated marginal means (i.e., corresponding to the emmeans in R).
It would be useful with a transformation ability to the estimated marginal means contrast in generalized linear models (i.e., for odds-ratios to risk ratios in logistic regression, similar to contrast(regrid(emmeans())) ).
All the best,
Rico
Re: Request: Pairwise contrast in estimated marginal means
Posted: Sat Mar 11, 2023 12:37 am
by jonathon
hi,
i think you'll find jamovi already provides post-hoc tests and estimated marginal means for linear models.
jonathon
Re: Request: Pairwise contrast in estimated marginal means
Posted: Tue Sep 03, 2024 10:41 am
by ricclo
Hello,
Here comes a late addition to this request. Is it possible to incorporate posthoc marginal means to the binomial logistic regression models?
Currently, one can get the estimated marginal risk for a variable (e.g the probability of outcome=1 for man and woman separately), but as far as I can see, point estimate and 95%CI is not provided for their relationship, i.e the marginal risk ratio/marginal risk difference of the two.
In R: marginalmeans::avg_comparison can be used to compute such output.
Thank you for a great program.
best
Re: Request: Pairwise contrast in estimated marginal means
Posted: Wed Sep 04, 2024 8:46 am
by mcfanda@gmail.com
Module GAMLj3 does them
Re: Request: Pairwise contrast in estimated marginal means
Posted: Tue Sep 10, 2024 10:02 am
by ricclo
Great Thank you