Article

A plasmode simulation-based bias analysis for residual confounding by unmeasured variables leveraging information-rich subsets

2025-10-31

Abstract excerpt

<h4>Background</h4> Quantitative bias analyses often rely on unrealistic assumptions and do not fully reflect the complexities of healthcare data. <h4>Methods</h4> We describe a ‘plasmode’ simulation-based bias analysis for residual confounding from unmeasured variables by leveraging granular information from a subset of cohort members. We generated 500 simulated cohorts based on individual-level claims and link...

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Literature Corpus work: 2569ec9f-e9eb-5d30-b337-206dfdb2fcaf
DOI: 10.1101/2025.10.28.25338968

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