Evidence map›Paper›PMID 30060004›Full record

ArticleAmerican journal of epidemiology2018

Estimating the Relative Excess Risk Due to Interaction in Clustered-Data Settings.

Katharine Correia, Paige L Williams

Registry-linked trialAbstract read
In one paragraph

Article in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01310023 (Surveillance Monitoring for ART Toxicities Study in HIV Uninfected Children Born to HIV Infected Women), which is not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–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.

NCT01310023 completednot on this map

Surveillance Monitoring for ART Toxicities Study in HIV Uninfected Children Born to HIV Infected Women

TypeobservationalSponsorHarvard School of Public Health (HSPH)Ran2007 to 2025Enrolled5,169ConditionsAntiretroviral Toxicity
3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

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  7. Frontiers in cell and developmental biology · 2026
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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

2 authors.

Katharine CorreiaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Paige L WilliamsDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Funding

PHACS - Data and Operations CenterU01HD052102 · NICHD · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLIAMS, PAIGE L · 2005 to 2019
$242.7M
Pediatric HIV/AIDS Cohort Study (PHACS): Understanding Maternal HIV Disease through Pregnancy and the Postpartum Period and its Role in Child Health OutcomesU01HD052104 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI VAN DYKE, RUSSELL B. · 2005 to 2019
$15.7M
BIOSTATISTICS/EPIDEMIOLOGY TRAINING GRANTS IN AIDST32AI007358 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Michael David Hughes · 1989 to 2026
$12.4M
NIAID NIH HHS T32 AI007358NICHD NIH HHS U01 HD052102NICHD NIH HHS U01 HD052104
6 · The paper itself

Abstract

The risk difference scale is often of primary interest when evaluating public health impacts of interventions on binary outcomes. However, few investigators report findings in terms of additive interaction, probably because the models typically used for binary outcomes implicitly measure interaction on the multiplicative scale. One measure with which to assess additive interaction from multiplicative models is the relative excess risk due to interaction (RERI). The RERI measure has been applied in many contexts, but one limitation of previous approaches is that clustering in data has rarely been considered. We evaluated the RERI metric for the setting of clustered data using both population-averaged and cluster-conditional models. In simulation studies, we found that estimation and inference for the RERI using population-averaged models was straightforward. However, frequentist implementations of cluster-conditional models including random intercepts often failed to converge or produced degenerate variance estimates. We developed a Bayesian implementation of log binomial random-intercept models, which represents an attractive alternative for estimating the RERI in cluster-conditional models. We applied the methods to an observational study of adverse birth outcomes in mothers with human immunodeficiency virus, in which mothers were clustered within clinical research sites.

Indexed as

Cluster AnalysisEpidemiologic Research DesignBayes TheoremComputer SimulationFemaleHIV InfectionsHumansPregnancyPregnancy Complications, InfectiousPregnancy OutcomeRisk Assessment

Identifiers

PMID30060004
PMCPMC6211249

What OpenQuestion holds

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Registered trials

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.