Estimating the treatment effects of multiple drug combinations on multiple outcomes in hypertension.

ABSTRACT: Hypertension management is complex due to the need for multiple drug combinations and consideration of diverse outcomes. Traditional treatment effect estimation methods struggle to address this complexity, as they typically focus on binary treatments and binary outcomes. To overcome these challenges, we introduce a framework that accommodates multiple drug combinations and multiple outcomes (METO). METO uses multi-treatment encoding to handle drug combinations and sequences, distinguishing between effectiveness and safety outcomes by learning the outcome type during prediction. To mitigate confounding bias, METO employs an inverse probability weighting method for multiple treatments, assigning balance weights based on propensity scores. Evaluated on real-world data, METO achieves significa

SUBMITTER: Liu R 

PROVIDER: S-EPMC11866501 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature