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G-estimation of causal effects, allowing for time-varying confounding

Author

Listed:
  • Jonathan A. C. Sterne

    (University of Bristol, UK)

  • Kate Tilling

    (King's College London)

Abstract

This article describes the stgest command, which implements G-estimation (as proposed by Robins) to estimate the effect of a time-varying exposure on survival time, allowing for time-varying confounders. Copyright 2002 by Stata Corporation.

Suggested Citation

  • Jonathan A. C. Sterne & Kate Tilling, 2002. "G-estimation of causal effects, allowing for time-varying confounding," Stata Journal, StataCorp LP, vol. 2(2), pages 164-182, May.
    • Handle: RePEc:tsj:stataj:v:2:y:2002:i:2:p:164-182
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    Citations

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    Cited by:

    1. Rhian M. Daniel & Bianca L. De Stavola & Simon N. Cousens, 2011. "gformula: Estimating causal effects in the presence of time-varying confounding or mediation using the g-computation formula," Stata Journal, StataCorp LP, vol. 11(4), pages 479-517, December.
    2. Chen, Xia & Geyer, Philipp, 2022. "Machine assistance in energy-efficient building design: A predictive framework toward dynamic interaction with human decision-making under uncertainty," Applied Energy, Elsevier, vol. 307(C).

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