Evidence map›Paper›PMID 38953619›Full record

ArticleBiometrical journal. Biometrische Zeitschrift2024

Simultaneous Inference of Multiple Binary Endpoints in Biomedical Research: Small Sample Properties of Multiple Marginal Models and a Resampling Approach.

Sören Budig, Klaus Jung, Mario Hasler, Frank Schaarschmidt

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biometrical journal. Biometrische Zeitschrift, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sören BudigDepartment of Biostatistics, Institute of Cell Biology and Biophysics, Leibniz University Hannover, Hannover, Germany.ORCID 0009-0009-8039-7645
Klaus JungInstitute for Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Hannover, Germany.ORCID 0000-0001-9955-748X
Mario HaslerLehrfach Variationsstatistik, Christian-Albrechts-University of Kiel, Kiel, Germany.ORCID 0000-0002-4781-2386
Frank SchaarschmidtDepartment of Biostatistics, Institute of Cell Biology and Biophysics, Leibniz University Hannover, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In biomedical research, the simultaneous inference of multiple binary endpoints may be of interest. In such cases, an appropriate multiplicity adjustment is required that controls the family-wise error rate, which represents the probability of making incorrect test decisions. In this paper, we investigate two approaches that perform single-step

Indexed as

Biomedical ResearchBiometryModels, StatisticalEndpoint DeterminationHumansSample Sizebootstrapfamily‐wise error rategeneralized linear modelsmultiple comparisonspower

Identifiers

PMID38953619
PMCPMC12859538

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Registered trials

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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.