Accounting for Comorbidity in Etiologic Research

Explicit causal assumptions are essential for selecting appropriate analytical strategies in etiologic research. This study provides practical guidance on analytical handling of the measures of comorbidity, highlighting the need for study design and analysis to align with research objectives. Future work should address more complex causal structures and other methodological challenges.

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Publication Details

Journal
Clinical Epidemiology
Published
2025-10-01
DOI
https://doi.org/10.2147/clep.s535276
Primary Topic
Advanced Causal Inference Techniques
Type
article
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article

Accounting for Comorbidity in Etiologic Research

Magdalena Janecka, Vahe Khachadourian
Clinical Epidemiology
Advanced Causal Inference Techniques
article

Accounting for Comorbidity in Etiologic Research

Magdalena Janecka, Vahe Khachadourian
article en

Abstract

Explicit causal assumptions are essential for selecting appropriate analytical strategies in etiologic research. This study provides practical guidance on analytical handling of the measures of comorbidity, highlighting the need for study design and analysis to align with research objectives. Future work should address more complex causal structures and other methodological challenges.

Clinical EpidemiologyVol. Volume 17
New York University (US)
Openalex Percentile: Top 71%
Advanced Causal Inference Techniques
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Accounting for Comorbidity in Etiologic Research — Magdalena Janecka, Vahe Khachadourian · Clinical Epidemiology (2025) | TGRS Research Map | TGRS