Inverse probability weighting for time-varying treatment strategies

Slide Deck R Code Dataset

Learning objectives

  1. Define unstabilized and stabilized inverse probability of treatment weights for time-varying treatments
  2. Define marginal structural models for time-varying treatments
  3. Implement these methods in R

Additional readings or resources

  1. Causal Inference: What If (Chapter 12, 21.2)
Posted on:
January 25, 2020
Length:
1 minute read, 37 words
See Also: