I love you Tom, you managed to explain this incredibly important point to me in such an eloquent manner that I finally understand its significance!
@rodrigogutierrezdiaz5483 Жыл бұрын
love him too
@DoctorNahanni7 ай бұрын
This was fabulous! I really enjoy your style of presenting. It is clear, challenging, and well-crafted.
@seanleeduncan3 жыл бұрын
No! We need the mixed effect model video. This is the clearest explanation I've heard.
@zelim98632 жыл бұрын
Excellent explanation of effects in statistical models! Huge thanks Tom, you are the best!
@ElNick093 жыл бұрын
This is brilliantly done. Wonderful presentation!
@abdulbouraa45292 жыл бұрын
Hi, I'm From Comoros. Thanks for the video, it was crystal clear !!!
@tarikutesfaye4472 ай бұрын
I loved the video. Thank you Tom!
@lawrnc2 жыл бұрын
Great explanation! I find interesting that in this explanation it may be implied that random effects models (aka multilevel or mixed effects models) may be favoured to fixed effect ones, which instead through a lot of information away. Some researchers especially in econometrics instead would make the distinction between FE and RE models (rather than random and fixed effects) and favour fixed effects
@alekseiknorre73132 ай бұрын
From the econometrics viewpoint, the main issue and reason of unpopularity of RE in the discipline is a very strong assumption of zero covariance between individual- and group-level variables. Highly unrealistic in the wild, highly important for consistency of the estimator.
@THIAGOVIZINE4 жыл бұрын
Great Video! Please upload the Mixed Effects one
@djjoeyb2873 Жыл бұрын
Big up the top g Tom, shelling stats like it's Mario Kart. GG
@MannISNOR4 жыл бұрын
This is really well done! Great job Tom Reader!
@zolper118910 ай бұрын
Thank you for the explanation, this video was very easy to understand!
@johnorosz7477 Жыл бұрын
Good data allows organizations to establish baselines, benchmarks, and goals to keep moving forward. Because data allows you to measure, you will be able to establish baselines, find benchmarks and set performance goals. A baseline is what a certain area looks like before a particular solution is implemented.
@radelgrumpf4 жыл бұрын
Extremely good video, Mr. Reader. Thank you so much.
@riesenpurzel2 жыл бұрын
sad truth is that I did mixed models once for a publication and one of the reviewers said the statistics section is hard to understand and not common, so i should use anova instead... cheers to the standards of nowadays science edit: After submitting to a journal in another field where I knew from a colleague that the standards in statistics are a little higher, I had no problems anymore.
@haeyoungkim5093 Жыл бұрын
Its a major limitation of the peer review process...
@AmIsupposedToBeAlone2 жыл бұрын
Really clear explanation! Thank you!
@_Randa_ Жыл бұрын
Such a clear explanation! Very helpful.
@ollie-d2 жыл бұрын
Very clearly explained, cheers
@NERMIENKH8 ай бұрын
Thank you so much for simplyfing such topic.
@anamikabhowmick63223 жыл бұрын
Such a great explanation and I finally understood this importing thing
@avishkaravishkar14513 жыл бұрын
Excellent video and crystal clear explanation
@margaridacabral35024 жыл бұрын
Amazing explanation! I wonder if the video about mixed models is already out? I could not find it under the youtube page of Univ. of Nottingham...
@uniofnottingham4 жыл бұрын
We found these other videos with Tom Reader kzbin.info/www/bejne/sGWYfYifpZuFmas and kzbin.info/www/bejne/hqqxq5V6l8-mZ7s if they help at all.
@chandlerw882 жыл бұрын
Thanks Tom. Great explanation
@rameshwariar6732 жыл бұрын
Thank you for this clear explanation!
@afraidofmoths65472 жыл бұрын
What an awesome video! Thank you!
@WanyShamsuddin2 жыл бұрын
Very clear explanation . Thankyou !
@stanislaviakhno23283 жыл бұрын
Great video! Well explained, thank you. I wonder if at 6:00 it is going about the random effects and not bias measurement? Thanks!
@karakesteven66174 жыл бұрын
Hello!! can one use a fixed effect regression on a cross-sectional dataset, if yes how?
@mohammadkashem3375 Жыл бұрын
Hi Sir, if Hausman test indicates that fixed model is more appropriate than random effect model, and if in that case, in data time period (T) > cross section units (N), which FEM is to be chosen: time (T) FEM or Cross section (N) FEM?
@md.masumbillah82222 жыл бұрын
great presentation!
@jacobalbright87172 жыл бұрын
Fantastic! Thank you!
@sofiaalfonso98833 жыл бұрын
What an excelent video, thank you very much
@riabhabu764 Жыл бұрын
Hey! thank you so much for this explanation it was truly helpful. I was wondering if you could answer a question I had about the topic. What if you wrongly assume a factor to be of random effect how would that affect your results if at all?
@durgasthan3 жыл бұрын
That is why we have many independent variables to capture the random effect.. but what i was expecting how these fixed vs random effecting impacting the model.. where we already tried using many independent variables
@wiltonpt12 жыл бұрын
Great Lectures. Many thanks. Is there a sequel into explaining more about Mixed models
@BlowAway113 жыл бұрын
That was very clear. Thanks a lot!
@timokvamme Жыл бұрын
very well explained
@dywu123 жыл бұрын
Thx Tom, great explaination :) and well pronounced btw!
@molloarden89383 жыл бұрын
Superb , lucid presentation on an all too often neglected topic in stats.
@VictorOrdu2 жыл бұрын
Great theoretical background
@ThuHuongHaThi3 жыл бұрын
Thank you very much, sir
@Y45HV1N Жыл бұрын
can "nurse" be treated as a random effects if there are only 2 nurses?
@esthertaheri228010 ай бұрын
Hope there was a link to the next video for the mixed model
@crazychocgingerbread70993 жыл бұрын
Thank you so much!
@rumeeranisavapandit19653 жыл бұрын
Sir, please give the lectures in written form also
@Mohammadi22002 жыл бұрын
very good
@chungbui78924 жыл бұрын
Thank you, sir
@preciousumeha29734 жыл бұрын
Thank you sir
@chrislloyd5415 Жыл бұрын
You talk about dependence within individuals. Why can you not include a dummy variable for each individual and, if desired, an interaction of this dummy variable with the covariate? This is a FE model. What is the value in pretending that the individual parameters follow a normal distribution (when they might not)?
@BluePenguin18125 ай бұрын
Hi Chris, the approach you describe only works if "sphericity" is satisfied, for which you need equal variation on the dependent variable for each cluster (each individual in this case). While Mauchly's test tries to identify whether sphericity is violated, a mixed model assigning a random effect to the clustering variable avoids this requirement
@mubarekeshetiehussen3989 Жыл бұрын
Firstly, i would like to thanks for you interesting study, my data have two land uses(exclosure and non exclosure) with three site in each land use how to arrange my data and make analysis using liner mixed effect model