Evidence map›Paper›PMID 39524015›Full record

ArticleStatistics in medicine2024

A General Framework for the Multiple Nonparametric Behrens-Fisher Problem With Dependent Replicates.

Erin Sprünken, Robert Mertens, Frank Konietschke

Abstract read
In one paragraph

Article in Statistics in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Erin SprünkenInstitute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-9422-7788
Robert MertensDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Frank KonietschkeInstitute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-5674-2076

Funding

Deutsche Forschungsgemeinschaft KO 4680/4-1
6 · The paper itself

Abstract

In many trials and experiments, subjects are not only observed once but multiple times, resulting in a cluster of possibly correlated observations (e.g., brain regions per patient). Observations often do not fulfill model assumptions of mixed models and require the use of nonparametric methods. In this article, we develop and present a purely nonparametric rank-based procedure that flexibly allows the unbiased and consistent estimation of the Wilcoxon-Mann-Whitney effect

Indexed as

Cluster AnalysisComputer SimulationModels, StatisticalRisk AssessmentStatistics, NonparametricAngiography, Digital SubtractionConfidence IntervalsData Interpretation, StatisticalHumansMoyamoya DiseaseBehrens–Fisherclustermultiple testingnonparametricreplicates

Identifiers

PMID39524015
PMCPMC11639657

What OpenQuestion holds

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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.