Michael Johns: Propensity Score Matching: A Non-experimental Approach to Causal... | PyData NYC 2019

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  • Опубликовано: 29 ноя 2024

Комментарии • 6

  • @rembautimes8808
    @rembautimes8808 2 года назад +7

    Good lecture by an expert in the field and the slides were well designed as well. Great talk

  • @danielechavezs7502
    @danielechavezs7502 2 года назад +8

    00:53 Outline
    01:30 Propensity Score Matching in a Nutshell
    03:25 The Selection Problem
    05:52 Key Steps
    07:18 Goals

  • @GuorongLi-re7kt
    @GuorongLi-re7kt 5 месяцев назад

    One question, if we get overfitting propensity scores, then the overlap we want will be very small. It looks like conflict arguments here.

    • @surayuthpintawong8332
      @surayuthpintawong8332 29 дней назад

      May I ask what the conflict is? If you are overfitting, in the extreme case, each person is assigned only one propensity score. Thus, it's nearly impossible to find anyone with a similar score.

  • @Akerfeldtfan
    @Akerfeldtfan Год назад +8

    Helpful lecture by data science Tucker Carlson!

    • @MMUnubi
      @MMUnubi 5 месяцев назад

      😀😀