A Selective Review of Negative Control Methods in Epidemiology

Purpose of Review Negative controls are a powerful tool to detect and adjust for bias in epidemiological research. This paper introduces negative controls to a broader audience and provides guidance on principled design and causal analysis based on a formal negative control framework. Recent Finding...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Current epidemiology reports Ročník 7; číslo 4; s. 190 - 202
Hlavní autori: Shi, Xu, Miao, Wang, Tchetgen, Eric Tchetgen
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cham Springer International Publishing 01.12.2020
Springer Nature B.V
Predmet:
Bias
Control methods
Design
Design analysis
Epidemiologic Methods (P Howards
Epidemiology
Medicine
Medicine & Public Health
Section Editor
Social sciences
Statistical methods
Statistics
Topical Collection on Epidemiologic Methods
Bias correction
Bias reduction
Bias detection
Unmeasured confounding
Negative control
ISSN:2196-2995, 2196-2995
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Purpose of Review Negative controls are a powerful tool to detect and adjust for bias in epidemiological research. This paper introduces negative controls to a broader audience and provides guidance on principled design and causal analysis based on a formal negative control framework. Recent Findings We review and summarize causal and statistical assumptions, practical strategies, and validation criteria that can be combined with subject-matter knowledge to perform negative control analyses. We also review existing statistical methodologies for the detection, reduction, and correction of confounding bias, and briefly discuss recent advances towards nonparametric identification of causal effects in a double-negative control design. Summary There is great potential for valid and accurate causal inference leveraging contemporary healthcare data in which negative controls are routinely available. Design and analysis of observational data leveraging negative controls is an area of growing interest in health and social sciences. Despite these developments, further effort is needed to disseminate these novel methods to ensure they are adopted by practicing epidemiologists.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:2196-2995
2196-2995
DOI:10.1007/s40471-020-00243-4