Minimum Detectable Effect Calculation

Пікірлер: 11

  • @SouthernIg
    @SouthernIgАй бұрын

    A great video with very clear explanation.

  • @Sarpamus
    @Sarpamus2 жыл бұрын

    thank you for sharing your knowledge. I am really indebted to you. I cant tell how much I appreciate what you do

  • @intrepid_grovyle
    @intrepid_grovyle2 жыл бұрын

    awesome video. super clear and really shows formula for calculating MDE and all its nuances. thank you so much for posting this

  • @julianduggan342
    @julianduggan3422 жыл бұрын

    thanks! very clear overview

  • @rohitkarvekar3926
    @rohitkarvekar39262 жыл бұрын

    Great explanation!

  • @giorgiosperandio8708
    @giorgiosperandio8708 Жыл бұрын

    Thank you. Interesting video. What is a reasonable MDE (in % respect to the mean) to consider an experiment good enough?

  • @faith...5241
    @faith...5241 Жыл бұрын

    Thank you!

  • @gabrielristow4252
    @gabrielristow4252 Жыл бұрын

    Last lonely question here, the t statistic your considering with how many degrees of freedom?

  • @gabrielristow4252
    @gabrielristow4252 Жыл бұрын

    thanks for the video, it is very didactic I have some questions: - At 2:37, shouldn't it be ATE instead of ATT? - 22:48, when calculating the variance of the outcome variable, should this be for the treatment, control or whole population? Shouldn't this be sqrt(VARtest/ntest + VARcontrol/ncontrol)? - At 31:10, I can't understand the clustered formula. Imagine that intra correlation is equal to 0, then the MDE would be multiplied by sqrt(1/n), which is a very low number depending on sample size. For me, this segment needs to return 1 when intra correlation is 0. Something like sqrt(1+rho(n-1)) Eager to hear your thoughts (or anyone else)!

  • @gabrielristow4252
    @gabrielristow4252 Жыл бұрын

    Also, it would be great if you can share the source of your MDE formula in 21:31

  • @supercool37
    @supercool375 ай бұрын

    I hope this is the the right video for calculating minimum detectable effect size if I see an observational study published in a paper and I am reviewing it for discussing in journal club? My main concern is not to jump to an erroneous conclusion of equivalence based on an underpowered observational study which did not even mention any power analysis. This misunderstanding has a potential for negatively impacting patient care. Is there an article and is there a calculator?