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Estimating the complier average causal effect via a latent class approach using gsem

Author

Listed:
  • Patricio Troncoso

    (Heriot-Watt University)

  • Ana Morales-Gómez

    (University of Edinburgh)

Abstract

In randomized controlled trials, intention-to-treat analysis is custom- arily used to estimate the effect of the trial. However, in the presence of noncom- pliance, this can often lead to biased estimates because intention-to-treat analysis completely ignores varying levels of actual treatment received. This is a known is- sue that can be overcome by adopting the complier average causal effect approach, which estimates the effect the trial had on the individuals who complied with the protocol. When compliance is unobserved in the control group, the complier av- erage causal effect estimate can be obtained via a latent class specification using the gsem command.

Suggested Citation

  • Patricio Troncoso & Ana Morales-Gómez, 2022. "Estimating the complier average causal effect via a latent class approach using gsem," Stata Journal, StataCorp LP, vol. 22(2), pages 404-415, June.
    • Handle: RePEc:tsj:stataj:v:22:y:2022:i:2:p:404-415
    DOI: 10.1177/1536867X221106416
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