Відео

Thank you so much for this video!!! I wanted to ask you if you have made a video but using glmer ( the dependent variable 0 or 1). Or if you have any recommendations for that, particularly to assess the assumptions. Thank you in advance for your kind reply!

Nobody explains stats as well as Dr. Lohse, whenever I am needing some intuition about what is actually going on in a statistical concept, he is my “go to”!

Thank you so much. I have a question, when i was taught longitudinal analysis, my professor used the lme() function and utilized correlation structures (exponential, unstructured, ...e.t.c). What is the difference between the lme() and the lmer().

was trying to follow along but the data you are working with is not the same data in the session1 data file for both 2018 and 2021. where is the data you are working with in the video?

Thank you for help

22:28, looking at your model, I don't see any control variables. Aren't we supposed to control for extraneous factors such as the subjects' age or gender?

so well explained 🙏

Just what I needed as a 2nd year Psychology student, thanks a bunch:)

Thank you for sharing this series. Very clear and detailed for the topic complexity. May your models always converge!

38:38 nice example

15:45 nicee explanation, thanks!

Thank you so much!!

Thank you for such a lucid explanation and visualization of longitudinal analysis

Thank you very much for these amazing informative videos! The summary() function outputs comparisons of groups C5-8 and paraplegia with the reference group C1-4 in terms of time group interaction. How could one compare C5-8 to paraplegia in terms of interaction, both linear and quadratic? Thank you!

Great video!! I love the explanations!

Can you explain what this lmercontrol do here?

Great video and course materials, thanks for sharing.

Thanks for sharing your lectures ❤

Thanks so much for such wonderful video! I always confused by the treatment coding of the interaction in R. Thanks for explaining this!

gracias

Hey! Amazing video, this really helped me with a previous assignment. Just have a question whether you think using ANOVA would be appropriate to test for whether a plant’s “health” (categorical data, leaves are either: green, grey, yellow/orange) with the total number of individuals in a population?

Hey. I usually don't leave comments here, but I just wanted to say you having so little views is a pity as after scrolling through dozens of videos on this to no avail, you explained it perfectly and I was actually able to finally understand. So I guess don't give up? <3

I believe if the time variable is not the variable of study, we don't care that much about multicollinearity or we should at least prove that mean centering improves the VIF in order to use it. If time variable is merely a control variable, well....we don't care about multicollinearity.

Thank you for these wonderful videos, they are very helpful. Just a small comment: it would be very helpful to discuss in which situation which model should be used. For example, when the researchers should use a nonlinear negative exponential mixed effect models and how they should choose random and fixed effects. Unfortunately, I did not have time to go through all the videos. Please skip my comment if you have already discussed these points.

Thank you very much for these clear explanations.

This is such a clear and wonderful explanation! Thank you so much

Thank you for a series of very thorough and clear videos. I have been wrestling a dataset of my own and I found that working along with these videos, yet with my own data, really helped. Do you have any words on using the 'generalized variance inflation factor' or GVIF in order to assess multicollinearity in this dataset?

This is a really informative and helpful video! I wondered if you could point me in the direction of resources to support an a priori power analysis for mixed effects models for longitudinal data?

thank you sir, this saved me!

Hi, thank you for your video. Could you make a video of linear mixed effect with repeated measures, like in crossover designs? I really will appreciate it.

Great work Dr. Keith Lohse

ccol. thanks

Thank you very much for this very helpful video.