Week 9 : CONFOUNDING: DEFINITION

Поделиться
HTML-код
  • Опубликовано: 22 авг 2024

Комментарии • 14

  • @m.c.degroffdavis9885
    @m.c.degroffdavis9885 4 года назад

    Thank you so much! You have cleared up issues I had with confounding as well as introduced new ideas. You rock!

  • @yilmazdemir6844
    @yilmazdemir6844 7 лет назад

    Impressive! Thank you for a most pedagogic explenation I´ve heard.

  • @holliestone4507
    @holliestone4507 Год назад

    Explained so clearly and accessibly. Thank you very much.

  • @sharifabahar6257
    @sharifabahar6257 8 лет назад

    Thanks for sharing it ...
    get knowledge to share more

  • @subhamnandy5700
    @subhamnandy5700 5 лет назад

    Thank you Sir. Your explanation encouraged me to go through confounding once again.

  • @amatwumwaaacheampong3227
    @amatwumwaaacheampong3227 5 лет назад

    Thank you Professor. That was very well explained

  • @bridgetmutema9320
    @bridgetmutema9320 Год назад

    very helpful slides thankyou

  • @salimjuma4919
    @salimjuma4919 6 лет назад

    marvelous

  • @haohuang8610
    @haohuang8610 2 года назад

    what if the risk ratio from old group is not equals to the risk ratio from the young group? How can we identify confounder empirically?

  • @MsAmour2009
    @MsAmour2009 9 лет назад

    that is very well explained

  • @sharika809
    @sharika809 3 года назад

    How to understand and interpret confounders when odds ratio is less than 1?

  • @nystagmus
    @nystagmus 5 лет назад

    I don’t get it: if the adjusted risk ratio is 1.5 for BOTH the old and the young, then didn’t you prove that age is not a factor between the two groups? Because they have the same risk ratio.

    • @adelzaki438
      @adelzaki438 2 года назад

      Risk ratio is the same for SMOKING whether age is young or old, this just prove that smoking is a risk factor for CHD at any age, Still Risk of CHD is higher in older age even after adjusting for smoking.