Posterior predictive treatment assignment methods for causal inference in the context of time-varying treatments

@article{Liao2019PosteriorPT,
  title={Posterior predictive treatment assignment methods for causal inference in the context of time-varying treatments},
  author={Shirley Liao and Lucas R F Henneman and Corwin Zigler},
  journal={Epidemiologic Methods},
  year={2019},
  volume={9}
}
  • Shirley Liao, Lucas R F Henneman, Corwin Zigler
  • Published 2019
  • Computer Science, Mathematics
  • Epidemiologic Methods
  • Abstract Marginal structural models (MSM) with inverse probability weighting (IPW) are used to estimate causal effects of time-varying treatments, but can result in erratic finite-sample performance when there is low overlap in covariate distributions across different treatment patterns. Modifications to IPW which target the average treatment effect (ATE) estimand either introduce bias or rely on unverifiable parametric assumptions and extrapolation. This paper extends an alternate estimand… CONTINUE READING

    Figures and Tables from this paper

    References

    SHOWING 1-10 OF 45 REFERENCES
    Replication Data for: Posterior Predictive Treatment Assignment for Estimating Causal Effects with Limited Overlap
    • 3
    • Highly Influential
    • PDF
    Comparison of Approaches to Weight Truncation for Marginal Structural Cox Models
    • 40
    Diagnosing and responding to violations in the positivity assumption
    • 263
    Causal inference in epidemiological studies with strong confounding.
    • 64
    Constructing inverse probability weights for marginal structural models.
    • 1,421
    • PDF
    Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis
    • P. Austin
    • Mathematics, Medicine
    • Statistics in medicine
    • 2016
    • 111
    Dealing with limited overlap in estimation of average treatment effects
    • 630
    • Highly Influential
    • PDF
    Uncertainty in the design stage of two-stage Bayesian propensity score analysis.
    • 5
    • PDF
    Marginal Structural Models versus Structural nested Models as Tools for Causal inference
    • 556
    • Highly Influential
    • PDF
    Model Averaging Methods for Weight Trimming in Generalized Linear Regression Models.
    • M. Elliott
    • Mathematics, Medicine
    • Journal of official statistics
    • 2009
    • 18
    • PDF