The Denominator Matters! Lessons from Large Database Research in Neonatology

Observational studies from large datasets are becoming more common in neonatology. In this review, we highlight the importance of the denominator in study design and interpretation including examples of bias from source data, weight-based categories, age-related bias, and diagnosis-based denominator...

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Detalles Bibliográficos
Autores principales: Tolia, Veeral N., Clark, Reese H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694961/
https://www.ncbi.nlm.nih.gov/pubmed/33171732
http://dx.doi.org/10.3390/children7110216
Descripción
Sumario:Observational studies from large datasets are becoming more common in neonatology. In this review, we highlight the importance of the denominator in study design and interpretation including examples of bias from source data, weight-based categories, age-related bias, and diagnosis-based denominators.

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