What does statistical CONFOUNDING mean?? GREAT VIDEO!

Sdílet
Vložit
  • čas přidán 22. 07. 2024
  • See all my videos at www.zstatistics.com/
    0:00 Introduction to the Health IQ Series
    0:46 Basics of confounding
    4:32 Confounding in Coronavirus
    7:54 Confounding by Indication
    12:04 Randomised Control Trials
    References:
    Italian study (early COVID) showing 70% of mortalities are male:
    www.epicentro.iss.it/coronavi...
    Australian study looking at health impacts of urban density
    www.heartfoundation.org.au/im...
    The Cardiovascular Health of Young Adults: Disparities along the Urban-Rural Continuum
    Elizabeth Lawrence, Robert A. Hummer, Kathleen Mullan Harris
    First Published June 23, 2017 Research Article Find in PubMed
    doi.org/10.1177/0002716217711426
    Data for population pyramid
    www.populationpyramid.net/wor...
    Caesarean section and maternal death
    Why mothers die 2000-2002: The sixth report of the confidential enquiries into maternal deaths in the United Kingdom. RCOG Press. London 2004.
    www.hqip.org.uk/assets/NCAPOP-...

Komentáře • 30

  • @envise
    @envise Před 3 lety +2

    Wow! The simplicity of your explanation is out of the world!

  • @michaelzumpano7318
    @michaelzumpano7318 Před rokem

    That was a great explanation of confounding. You have a gift. I’m enjoying all your videos.

  • @OwenMcKinley
    @OwenMcKinley Před 3 lety

    Hi Justin, I posted a lengthy question here yesterday regarding mortality rates, but I was able to work through to the answer. I’m leaving this follow-up comment though to thank you for all of your efforts with these tutorials. 😊

  • @raquellima27
    @raquellima27 Před 2 lety +2

    Hello Justin. Amazing videos! Just started public health and it has been helping me a lot in my biostatistics module! Thank you so much

  • @MrSarojthapa
    @MrSarojthapa Před 4 lety +3

    Thank you! Your teaching style is easy to follow.

  • @TalgatBainazarov
    @TalgatBainazarov Před 3 lety

    Thanks, Justin! Awesome explanation!

  • @adrianteo2421
    @adrianteo2421 Před rokem +1

    Please make more medical statistics. Very very important

  • @toyinokunuga3605
    @toyinokunuga3605 Před 2 lety

    You are amazing!!! I wish I watched yours first. Thanks, I love your accent too😊

  • @foodruchiSNC
    @foodruchiSNC Před 4 lety

    Very nice presentation Sir. 👍

  • @pedrot
    @pedrot Před 10 měsíci

    Thank you for the video. You're helping me a lot

  • @YusufClack
    @YusufClack Před 4 lety +6

    My favorite stats teacher by far! Thank you. One nitpick was your exerciser vs couch potato RCT example. The confusing part about that is that even if you randomize and make exercisers become inactive, it will be tough to drowned out the noise of the long lasting impacts of that lifestyle. If the sample was massive, I guess it would all average out and you could see some things. But I'd still expect there to be a large coefficient of variation...

    • @zedstatistics
      @zedstatistics  Před 4 lety +1

      Thanks Yusuf! Ha yeah by "couch potato" I was simply meaning those that were directed not to exercise. Could have been a little clearer :) Thanks for the feedback!

  • @murilopalomosebilla2999

    Well explained!

  • @hanymostafa1590
    @hanymostafa1590 Před 2 lety

    perfect teaching

  • @statisticaldemystic6817
    @statisticaldemystic6817 Před 4 lety +3

    Really good examples of confounding. This is an important topic right now with the public suddenly so interested in the slew of correlational research on COVID, and reporters chasing miracle cures indicated by correlations.

  • @Evanxgeline
    @Evanxgeline Před rokem

    saved me right before my quiz tyyyy :)

  • @shreyasarojkar5267
    @shreyasarojkar5267 Před 4 lety +3

    So what you basically do being a statistician ? You data scientist or just a nerd of stats?

  • @ricardoafonso7563
    @ricardoafonso7563 Před 3 lety

    thank you

  • @feifanlu8650
    @feifanlu8650 Před 4 lety

    Hi Zed, thanks for your video. I learned a lot from your regression videos and I have a question regarding the confounding variable and Exogeneity. Since a confounding variable affects both an Independent variable X and a dependent variable Y. Is there any chance it becomes an omitted variable and its explaining ability has been added to the error term in our regression model to cause the endogeneity problem? What if we add this confounding variable into our model to fix the endogeneity? Will it cause collinearity? Because it seems the confounding variable is highly correlated with one independent variable.

  • @themaddyguy2838
    @themaddyguy2838 Před 4 lety +2

    Bro can you please suggest me some statistics books in which a large number of solved examples are present and i am a beginner

  • @sallymc965
    @sallymc965 Před 4 lety +2

    Haven't seen a new Jeremy's Iron podcast out recently :( Would I be correct to assume that this isolation period has made it significantly more difficult to get together and record them? Love your vids!

    • @zedstatistics
      @zedstatistics  Před 4 lety +3

      Stay tuned Sally! New epsiode coming soon... and there's a podcast name change coming too. Something a little less cryptic :)

    • @sallymc965
      @sallymc965 Před 4 lety

      @@zedstatistics Super stoked to hear that!! Can't wait for it!!

  • @Lee-pf9fl
    @Lee-pf9fl Před 3 lety

    Are confounding and independent variables the same?

    • @lydialim1993
      @lydialim1993 Před 2 lety

      They can be. But in addition to just being another IV, they're an IV that affects both the outcome variable AND other IVs.

  • @michaelwirtzfeld7847
    @michaelwirtzfeld7847 Před 4 lety

    Thank you.

  • @olb47
    @olb47 Před 3 lety

    When there will be a movie about mediators and moderators?:)

  • @isleep8519
    @isleep8519 Před 4 lety +2

    Somehow we still need math language to reiterate everything. Please consider making separate videos including all the math.

  • @jongcheulkim7284
    @jongcheulkim7284 Před 3 lety

    Thank you.