👍

this really helped me. thank you!

How is ZB gotten exactly?

Can you discuss in more detail the advantages and disadvantages of incidence density?

Thank you so much for the Video! <3

Best video i have watched explaining blocking randomization

Terrific video. Concise and clear, as it should be.

Good example, though I would be cautious about including a placebo with a Cancer treatment example as it would be unethical.

the way you say p-not is SOOOO irritating

do you know how you run this test in SPSS? I can't find an option labeled modified

Thank you!

Most explicit video i have seen so far...thank you

Very good description of all of these topics. Great work.

Do you know if we should assess interaction/confounding with a log-binomial?

Tysm, my biostatistics midterm is tomorrow!!

thanks for the explanation👍🏻⭐

Thanks, this was a good video!

Great help sir Thank you

Really nice presentation. Straightforward and thoughtful.

nicely done! thanks for depicting this difference. The only thing - which I guess can be resolved by discussion within panels?! - is what to do when the numbers are not even (like 9 participants in your toy example).

Good afternoon. Suppose we have more than one predictor. How do we approach it?

Great

Great video, thanks!

This was really helpful, thanks! I have been wondering how we got exp(B1)! You did a great job explaining.

VERY GOOD

Underrrated channel.NICELY PRESENTED .THANKS FOR THIS VIDEO AND THE OTHER

If you don't have treatment switching, as in the above example where patients shift from the antibiotic treatment to surgery after some time, the easiest way to eliminate immortal time bias would be to considers the time point of treatment decision as baseline for all comparisons.

Great explanation. Thanks

hi, what dataset did you used?

Thank you for this nice talking in epidemiology, is it possible to illustrate the three methods with SAS / R code？

Hi, really interesting video. I am an MSc Epidemiology student. Can you please make an elaborate video on types of regression modelling and their appropriate use? Like which model to use where (depending on study type or the outcome and exposure)? Thanks and keep up the wonderful work!

Watching this for my biostats internship, great info !

good stuff

What is the SAS syntax to run modified Poisson regression? thanks

The video that helped me the most to understand this topic, Thank you!

I'm sorry, how are the individual B estimates calculated (treatment, sex, age)? I am confused... What does it mean controlling for the other two factors?

This is such a great video, you explained everything so clearly. Thank you!!🙌

Better than my professor

Thank you Sir

You’ve done a great job presenting this topic in an easily understood manner. Kudos!

Thanks

The DATEDIFF function you were trying to kick off is in SQL Server, not SAS. In SAS it's INTNX. Awesome video, learned alot from it!!!

Awesome, thanks mahn

This video is amazing! I’m so glad you didn’t edit it!!! You have no idea how much it helped me the fact you didn’t edit. I was getting errors and didn’t know my mistake until I watched your video. How do I graph those variables with price logistics?

You are my life-saver, thank you so much!

This is the best video on DAGs. Thanks a bunch!

Thank you very much

Hi, I'm the author of dagitty. Thanks for this tutorial! A few tips: - You can also clear the canvas by clicking "Model -> New Model" - After clicking on a variable, you can also type "r" to bring up the "rename" screen

Words can't express my sincere gratitude 🎉

explained very well. Helps to understand easily.