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July 27, 2025

Estimating the Effects of Treatment Regimes over the Course of Chronic Disease: A Multi-state Causal Framework with Baseline Confounding

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MDMing Ding

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Overview

Multi-state model evaluates health benefits of treatment regimes in chronic disease, indicating potential for improved precision in prevention strategies.

Key Points

  • The proposed framework assesses the health benefits of different treatment regimes on chronic disease progression.
  • Using data from the ARIC study, the method shows significant increases in years gained for optimal smoking cessation interventions.
  • Transition rates are evaluated under the assumption of constant baseline confounders, enhancing the accuracy of treatment comparisons.
  • MALY and SSLY metrics effectively illustrate the impact of treatment regimes on disease pathways and health outcomes.

Cite This Study

Ming Ding (2025) studied this question.

synapsesocial.com/papers/689a0939e6551bb0af8ce6f5https://doi.org/10.1101/2025.07.25.25332203
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