An introduction to risk prediction and prognostic models

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  • Опубликовано: 27 дек 2024

Комментарии • 7

  • @pranjalikasture6583
    @pranjalikasture6583 2 года назад

    Wonderful presentation Sir. thanks for sharing!!

  • @GiangNguyen-ui3dh
    @GiangNguyen-ui3dh 3 года назад +1

    Very helpful information

  • @SergioUribe
    @SergioUribe 3 года назад +1

    thanks for share, great presentation!

  • @Marteenez_
    @Marteenez_ 2 года назад

    Why is causation not important in prediction modelling? Wouldn't the inclusion of potentially spurious factors be problematic when trying to apply the model in other samples?

    • @jekamito
      @jekamito Год назад

      that is why you need external validation for your models. To determine the causality of a factor, you need to know the causal model, which we do not many times. Check Miguel Hernan's lectures on the topic.

    • @Marteenez_
      @Marteenez_ Год назад

      @@jekamito Isn't that just implicitly saying we do need to know causal factors, whether they are obtained from external validation or causal modelling.

  • @ermiassisay8713
    @ermiassisay8713 11 месяцев назад

    thanks for share, great presentation!