Quantifying structural selection bias in observational cohort data: a ponderation analysis of age - specific incidence rates to inform vaccine safety verification

The HR = 2.714 of the scrutinized study is an unstable statistical artifact. The overwhelming majority of the observed association is a consequence of a fatal design flaw. The HR Corrected of almost 1 confirms that correcting the methodological error eliminates the risk signal, demonstrating a severe lack of internal and external validity of the original study.

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Publication Details

Journal
Frontiers in Pharmacology
Published
2026-01-08
DOI
https://doi.org/10.3389/fphar.2025.1754809
Citations
1
Primary Topic
melanin and skin pigmentation
Type
article
Field-Weighted Citation Impact
23.07
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article

Quantifying structural selection bias in observational cohort data: a ponderation analysis of age - specific incidence rates to inform vaccine safety verification

Marco Roccetti
1 citations
Frontiers in Pharmacology
melanin and skin pigmentation
23.07
article

Quantifying structural selection bias in observational cohort data: a ponderation analysis of age - specific incidence rates to inform vaccine safety verification

Marco Roccetti
article en
1 citations

Abstract

The HR = 2.714 of the scrutinized study is an unstable statistical artifact. The overwhelming majority of the observed association is a consequence of a fatal design flaw. The HR Corrected of almost 1 confirms that correcting the methodological error eliminates the risk signal, demonstrating a severe lack of internal and external validity of the original study.

Frontiers in PharmacologyVol. 16
University of Bologna (IT)
Good health and well-being
Openalex Percentile: Top 3%
melanin and skin pigmentation
23.07
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Quantifying structural selection bias in observational cohort data: a ponderation analysis of age - specific incidence rates to inform vaccine safety verification — Marco Roccetti · Frontiers in Pharmacology (2026) | TGRS Research Map | TGRS