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Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count

Xueqing Liu1, Tianchen Qian2, Lauren Bell3,4

  • 1Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, 169857, Singapore.

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|June 5, 2024
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Summary

This study introduces new methods to analyze count data from micro-randomized trials, focusing on the causal excursion effect for zero-inflated outcomes. These methods are applied to mobile health interventions, like the Drink Less trial.

Keywords:
causal excursion effectcount outcomemicro-randomized trialmobile healthstructural nested mean model

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Area of Science:

  • Mobile Health
  • Biostatistics
  • Causal Inference

Background:

  • Micro-randomized trials are crucial for developing adaptive mobile health interventions.
  • Analyzing intervention effects and covariate moderation is key.
  • Existing causal inference methods often overlook count data, particularly zero-inflated outcomes.

Purpose of the Study:

  • To extend the concept of causal excursion effect to zero-inflated count outcomes.
  • To develop novel nonparametric estimation approaches for analyzing such data.
  • To address the gap in analyzing count data within micro-randomized trials.

Main Methods:

  • Revisiting the causal excursion effect for zero-inflated count data.
  • Introducing novel nonparametric estimation techniques.
  • Establishing bidirectional asymptotics for proposed estimators.
  • Conducting simulation studies for performance evaluation.

Main Results:

  • The proposed methods are evaluated through simulation studies.
  • The methods are demonstrated using data from the Drink Less micro-randomized trial.
  • The study provides a framework for analyzing complex count outcomes in mobile health.

Conclusions:

  • Novel statistical methods are presented for causal inference with zero-inflated count data in micro-randomized trials.
  • The developed techniques offer valuable tools for mobile health intervention development.
  • The application to the Drink Less trial highlights practical utility.