STATA Tutorials: Binary Logistic Regression

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  • Опубликовано: 16 янв 2025

Комментарии • 15

  • @awfan221
    @awfan221 4 года назад +2

    You can also get odds ratio by doing logit command comma or

  • @kunstkt
    @kunstkt 10 лет назад +1

    HEEELP!!! What would be a combination of a rare events model (which I compute in Stata with cloglog) and an instrumental variable model (which I estimate with ivprobit)? I have to estimate a rare events model that has some endogenous regressors and I have the perfect instrument for them, but I just don't know how to do it...

  • @eliasolano3136
    @eliasolano3136 10 месяцев назад

    Does the overall model statistically significantly improve the constrained model?

  • @yomamasofat413
    @yomamasofat413 6 лет назад +5

    you forgot to mention how to interpret 1.8964 from the vote coefficient

    • @user-fu6vp5yt4e
      @user-fu6vp5yt4e 6 лет назад +1

      you cannot interprete the number. only the sign. therefore u use odds instead!

    • @pcpedroariel
      @pcpedroariel 5 лет назад +3

      e^(1,8964) - turn it into the odds ratio, then you can explain it

    • @josephsandram797
      @josephsandram797 2 года назад

      @@pcpedroariel very good explaination

  • @mariavlachou49
    @mariavlachou49 2 года назад

    Help, Can we just take the binary variables without defining a base level? And what about the continuous? Can we just include it in the model? Do we need to transform it before? (So the model “knows” that it is continuous?)

  • @anwarapad1421
    @anwarapad1421 2 года назад

    how to explain constant?

  • @ditto303
    @ditto303 10 лет назад +1

    great video :)

  • @leogal4eva
    @leogal4eva 11 лет назад

    this was helpful, thanks.

  • @Teniola_
    @Teniola_ 3 года назад

    Thank youuu

  • @qendil1
    @qendil1 5 лет назад

    thanks