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G-methods for time-varying treatments (Causal i...

Shuntaro Sato
November 25, 2020

G-methods for time-varying treatments (Causal inference: What if, Chapter 21-1)

Keywords: 因果推論, Time-varying, G-formula, IP weighting, Doubly robust estimation

Shuntaro Sato

November 25, 2020
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  1. ・G-methods for time-fixed treatments 本日の内容 ・The g-formula for time-varying treatments

    ・IP weighting for time-varying treatments ・A doubly robust estimator for time-varying treatments
  2. ・G-methods for time-fixed treatments 本日の内容 ・The g-formula for time-varying treatments

    ・IP weighting for time-varying treatments ・A doubly robust estimator for time-varying treatments
  3. Why model? effect measure modification (-) effect measure modification (+)

    別々にオッズ比を報告(1つの効果を報告できない) g-methods
  4. ・G-methods for time-fixed treatments 本日の内容 ・The g-formula for time-varying treatments

    ・IP weighting for time-varying treatments ・A doubly robust estimator for time-varying treatments
  5. ・G-methods for time-fixed treatments 本日の内容 ・The g-formula for time-varying treatments

    ・IP weighting for time-varying treatments ・A doubly robust estimator for time-varying treatments
  6. IP weightingの一般化 ・nonstabilized IP weights ・ stabilized IP weights logistic

    regression logistic regression (misspecifiedでも可)
  7. ・G-methods for time-fixed treatments 本日の内容 ・The g-formula for time-varying treatments

    ・IP weighting for time-varying treatments ・A doubly robust estimator for time-varying treatments
  8. 1. Doubly Robust (time-varying) 2. 3. を推定 からパラメータ を求める。 を求めておく

    を推定し、Aの値に応じた を求める。 これを繰り返して を求める。 always treat