MRTAnalysis - Assessing Proximal, Distal, and Mediated Causal Excursion
Effects for Micro-Randomized Trials
Provides methods to analyze micro-randomized trials (MRTs)
with binary treatment options. Supports four types of
analyses: (1) proximal causal excursion effects, including
weighted and centered least squares (WCLS) for continuous
proximal outcomes by Boruvka et al. (2018)
<doi:10.1080/01621459.2017.1305274> and the estimator for
marginal excursion effect (EMEE) for binary proximal outcomes
by Qian et al. (2021) <doi:10.1093/biomet/asaa070>; (2) distal
causal excursion effects (DCEE) for continuous distal outcomes
using a two-stage estimator by Qian (2025)
<doi:10.1093/biomtc/ujaf134>; (3) mediated causal excursion
effects (MCEE) for continuous distal outcomes, estimating
natural direct and indirect excursion effects in the presence
of time-varying mediators by Qian (2025)
<doi:10.48550/arXiv.2506.20027>; and (4) standardized proximal
effect size estimation for continuous proximal outcomes,
generalizing the approach in Luers et al. (2019)
<doi:10.1007/s11121-017-0862-5> to allow adjustment for
baseline and time-varying covariates for improved efficiency.
