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

Patricio Troncoso () and Ana Morales-Gómez ()
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Patricio Troncoso: Heriot-Watt University
Ana Morales-Gómez: University of Edinburgh

Stata Journal, 2022, vol. 22, issue 2, 404-415

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.

Keywords: gsem; complier average causal effect; randomized control trial; compliance; adherence; latent class modeling; mixture modeling (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1177/1536867X221106416

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