Evidence map›Paper›PMID 33961175›Full record

SynthesisPrevention science : the official journal of the Society for Prevention Research2022

Meta-analysis with Robust Variance Estimation: Expanding the Range of Working Models.

James E Pustejovsky, Elizabeth Tipton

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Prevention science : the official journal of the Society for Prevention Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 232 papers, 109 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
232citing papers in PubMed, 109 pooled it
119.7field-weighted citation impact, top 1% of its field
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

232 citing papers in PubMed, 109 syntheses or guidelines pooled it, 580 citations in OpenAlex.

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  9. Risk prediction for lung cancer screening: a systematic review and meta-regression.European respiratory review : an official journal of the European Respiratory Society · 2026
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172 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

2 authors at 2 institutions in 1 country.

James E PustejovskyEducational Psychology Department, University of Wisconsin - Madison, 1082C Educational Sciences, 1025 West Johnson St, Madison, WI, 53706-1706, USA. pustejovsky@wisc.edu.ORCID 0000-0003-0591-9465
Elizabeth TiptonStatistics Department, Northwestern University, Evanston, USA.
Northwestern University · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In prevention science and related fields, large meta-analyses are common, and these analyses often involve dependent effect size estimates. Robust variance estimation (RVE) methods provide a way to include all dependent effect sizes in a single meta-regression model, even when the exact form of the dependence is unknown. RVE uses a working model of the dependence structure, but the two currently available working models are limited to each describing a single type of dependence. Drawing on flexible tools from multilevel and multivariate meta-analysis, this paper describes an expanded range of working models, along with accompanying estimation methods, which offer potential benefits in terms of better capturing the types of data structures that occur in practice and, under some circumstances, improving the efficiency of meta-regression estimates. We describe how the methods can be implemented using existing software (the "metafor" and "clubSandwich" packages for R), illustrate the proposed approach in a meta-analysis of randomized trials on the effects of brief alcohol interventions for adolescents and young adults, and report findings from a simulation study evaluating the performance of the new methods.

Indexed as

Multivariate AnalysisAdolescentComputer SimulationData CollectionHumansDependent effect sizesMeta-analysisMeta-regressionRobust standard errors

Identifiers

PMID33961175
OpenAlexW3087936928

What OpenQuestion holds

Textmetadata
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.