Evidence map›Paper›PMID 27182642›Full record

ArticleEpidemiology (Cambridge, Mass.)2016

Brief Report: Negative Controls to Detect Selection Bias and Measurement Bias in Epidemiologic Studies.

Benjamin F Arnold, Ayse Ercumen, Jade Benjamin-Chung, John M Colford

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  11. Negative controls and how to use them: a guidance paper.International journal of epidemiology · 2026
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12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Benjamin F ArnoldFrom the Division of Epidemiology, University of California, Berkeley, CA.
Ayse Ercumen
Jade Benjamin-Chung
John M Colford

Funding

Effects of sanitation on pathogen transmission and child health in BangladeshR01HD078912 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI COLFORD, JOHN M · 2014 to 2017
$2.2M
New Serological Measures of Infectious Disease Transmission IntensityK01AI119180 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ARNOLD, BENJAMIN F · 2015 to 2019
$709k
Spillover effects of water, sanitation, and hygiene interventions on child healthR21HD076216 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI COLFORD, JOHN M · 2014 to 2015
$365k
Child health risks attributable to swimming in contaminated water at beaches in tR03HD076066 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI COLFORD, JOHN M · 2013 to 2014
$154k
NIAID NIH HHS K01 AI119180NICHD NIH HHS R01 HD078912NICHD NIH HHS R03 HD076066NICHD NIH HHS R21 HD076216
6 · The paper itself

Abstract

Biomedical laboratory experiments routinely use negative controls to identify possible sources of bias, but epidemiologic studies have infrequently used this type of control in their design or measurement approach. Recently, epidemiologists proposed the routine use of negative controls in observational studies and defined the structure of negative controls to detect bias due to unmeasured confounding. We extend this previous study and define the structure of negative controls to detect selection bias and measurement bias in both observational studies and randomized trials. We illustrate the strengths and limitations of negative controls in this context using examples from the epidemiologic literature. Given their demonstrated utility and broad generalizability, the routine use of prespecified negative controls will strengthen the evidence from epidemiologic studies.

Indexed as

BiasControl GroupsEpidemiologic StudiesResearch DesignSelection BiasHumansObservational Studies as Topic

Identifiers

PMID27182642
PMCPMC4969055

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.