What about covariates / control variables? are they just added in both models? Do we need to normalize predictors? U love how fast and on the point this lesson is but a hint to limitations / precautions would improve even more. That being said: Thanks so much!
as usual excellent, Bootstrap video, please! Also are the variables are all continuous or is any of them categorical. Can mediation be done when few variables are categorical in nature.
Hi, thank you for this amazing video!! I have one question, is it possible to do medaition analysis with "multiple mediators" (assuming they are uncorrelated with each other) in this package "mediation"? Many thanks.
Thank you very much for your videos. I would like to do the mediation analysis using multiple imputation for missing value using the "amelidiate" function in "mediation" package. If you know how to use this function , please give me the information.
Is it possible for flexplot to handle moderated mediation analysis with multiple predictor variables? I don't think it can visualize this, as we don't want to control for variables necessarily after the pipe.
Hi, thanks for the great work! I work with time to event data for the outcome. My exposure and mediatior as continuous variables. I used survreg function, which is suppoted by the mediation package. I'd like to represent my mediation model in a plot, like the mediate_plot you just showed. Do you have already a code for plotting mediation on this kind of outcome? Thanks!
Hello from Denmark! Thank you very much for your videos, I found them VERY instructive. I am studying the univariate and multivariate playlists but I cannot install the flexplot package. Is it still available? Thanks for your effort :)
This video is incredible. You described this better in 11 minutes than my professor did in two hours. Thank you!
This video is pure gold. I would just recommend some assumptions' checking at the beginning of the analysis. Otherwise, 10/10
The music (and your energy) makes it so much better! 🤣
Bootstrap video, please! And then proceed to parametric and semi-parametric bootstrapping for mixed-effects models :D
Agreed, that would be useful
you are not only a good teacher, you are hilarious
EXTREMELY HELPFUL! THANK YOU!
What about covariates / control variables? are they just added in both models? Do we need to normalize predictors? U love how fast and on the point this lesson is but a hint to limitations / precautions would improve even more. That being said: Thanks so much!
as usual excellent, Bootstrap video, please! Also are the variables are all continuous or is any of them categorical. Can mediation be done when few variables are categorical in nature.
Great vid! And yes, pls do Bootstrap!
Thank you for your effort
I fucking love this guy
Thank you very much ❤
Thanks so much, this is great! Why did you include exercise in the plot? Seems like that's a question unrelated to our variables of interest?
What if the mediator is a categorical binary variable? Thank your for your videos!!
Gracias man.
What if I have two independent sample groups and two mediators, and 1 dependent variable I want to test out?
Where can I get the dataset used in this video please? Thanks!
Hi,
thank you for this amazing video!!
I have one question, is it possible to do medaition analysis with "multiple mediators" (assuming they are uncorrelated with each other) in this package "mediation"? Many thanks.
Thank you very much for your videos. I would like to do the mediation analysis using multiple imputation for missing value using the "amelidiate" function in "mediation" package. If you know how to use this function , please give me the information.
Is it possible for flexplot to handle moderated mediation analysis with multiple predictor variables? I don't think it can visualize this, as we don't want to control for variables necessarily after the pipe.
How do I do a mediation when my mediator is a latent variable consisting of four measured variables?
Great video!
It's possible to do mediation using Jamovi and GLM?
And yes, I would like to see a video about bootstrap
Not at the moment.
Using mediation function, the ACME is significant, but on the graph the two slopes are almost identical... why?
Do you have a large sample size? What's the effect size? It might be significant, but the effect size is tiny. This is probably what's happening.
Hi
I am currently having a go at mediation path analysis model but I am stuck in the "error sem"
My specify model is shown below:
specmod
Hi, thanks for the great work! I work with time to event data for the outcome. My exposure and mediatior as continuous variables. I used survreg function, which is suppoted by the mediation package. I'd like to represent my mediation model in a plot, like the mediate_plot you just showed. Do you have already a code for plotting mediation on this kind of outcome? Thanks!
Can you also visualize longitudinal mediation with flexplot?
what could I do when r reports the error "mediator model is not yet implemented", THANK YOU!!!
What do you think of the lavaan package?
Love it.
Q: Can "mediate_plot" function be used with a binary response variable? If so, how?
Hello from Denmark! Thank you very much for your videos, I found them VERY instructive. I am studying the univariate and multivariate playlists but I cannot install the flexplot package. Is it still available? Thanks for your effort :)
It is: devtools::install_github("dustinfife/flexplot")
On 5:30, Aren't we supposed to establish first the relationship between Depression and Quarantine as a base model and only after that test full model?
Yes, that is customary.
Are mediation models technically additive?