Estimating the impact of treatment compliance over time on smoking cessation using data from ecological momentary assessments (EMA)
Yaoyuan Vincent Tan, Donna Coffman, Megan Piper, and Jason Roy

TL;DR
This paper develops a novel method to estimate how treatment compliance over time affects smoking cessation outcomes, using EMA data, and finds that different treatments have equivalent effects after adjusting for compliance.
Contribution
It introduces a new analytical approach for estimating causal effects of treatment compliance, including mediators and confounders, applied to smoking cessation data.
Findings
All three treatments show equivalent effects after accounting for compliance.
The proposed method performs well in simulations.
Application suggests compliance-adjusted effects are similar across treatments.
Abstract
The Wisconsin Smoker's Health Study (WSHS2) was a longitudinal trial conducted to compare the effectiveness of two commonly used smoking cessation treatments, varenicline and combination nicotine replacement therapy (cNRT) with the less intense standard of care, nicotine patch. The main outcome of the WSHS2 study was that all three treatments had equivalent treatment effects. However, in-depth analysis of the compliance data collected via ecological momentary assessment (EMA) were not analyzed. Compliance to the treatment regimens may represent a confounder as varenicline and cNRT are more intense treatments and would likely have larger treatment effects if all subjects complied. In order to estimate the causal compliance effect, we view the counterfactual, the outcome that would have been observed if the subject was allocated to the treatment counter to the fact, as a missing data…
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Taxonomy
TopicsAdvanced Causal Inference Techniques · Mental Health Research Topics · Behavioral Health and Interventions
