Next Article in Journal
Anthropometric Assessment of Nepali Children Institutionalized in Orphanages
Next Article in Special Issue
Examining the Relationship between Cost and Quality of Care in the Neonatal Intensive Care Unit and Beyond
Previous Article in Journal
High Resolution Manometry Guidance During Laparoscopic Fundoplication in Pediatric Surgically “Fragile” Patients: Preliminary Report
Previous Article in Special Issue
Association between Regional Tissue Oxygenation and Body Temperature in Term and Preterm Infants Born by Caesarean Section
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Children
Volume 7
Issue 11
10.3390/children7110216
children-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Denominator Matters! Lessons from Large Database Research in Neonatology

by
Veeral N. Tolia
1,2,* and
Reese H. Clark
2
1
Division of Neonatology, Baylor University Medical Center and Pediatrix Medical Group, Dallas, TX 75246, USA
2
The MEDNAX Center for Research, Education, Quality, and Safety, Sunrise, FL 33323, USA
*
Author to whom correspondence should be addressed.
Children 2020, 7(11), 216; https://doi.org/10.3390/children7110216
Submission received: 3 October 2020 / Revised: 2 November 2020 / Accepted: 5 November 2020 / Published: 7 November 2020
(This article belongs to the Special Issue Neonatal Health Care)
Browse Figures
Review Reports Versions Notes

Abstract

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.
Keywords: infants; infant; neonatal intensive care; health service research; statistics; study interpretation infants; infant; neonatal intensive care; health service research; statistics; study interpretation

Share and Cite

MDPI and ACS Style

Tolia, V.N.; Clark, R.H. The Denominator Matters! Lessons from Large Database Research in Neonatology. Children 2020, 7, 216. https://doi.org/10.3390/children7110216

AMA Style

Tolia VN, Clark RH. The Denominator Matters! Lessons from Large Database Research in Neonatology. Children. 2020; 7(11):216. https://doi.org/10.3390/children7110216

Chicago/Turabian Style

Tolia, Veeral N., and Reese H. Clark. 2020. "The Denominator Matters! Lessons from Large Database Research in Neonatology" Children 7, no. 11: 216. https://doi.org/10.3390/children7110216

APA Style

Tolia, V. N., & Clark, R. H. (2020). The Denominator Matters! Lessons from Large Database Research in Neonatology. Children, 7(11), 216. https://doi.org/10.3390/children7110216

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop