Evidence map›Paper›PMID 40302400›Full record

ArticleBiometrical journal. Biometrische Zeitschrift2025

A Regularized MANOVA Test for Semicontinuous High-Dimensional Data.

Elena Sabbioni, Claudio Agostinelli, Alessio Farcomeni

Abstract read
In one paragraph

Article in Biometrical journal. Biometrische Zeitschrift, 2025. 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

3 authors.

Elena SabbioniDepartment of Mathematical Science, Politecnico di Torino, Torino, Italy.ORCID 0000-0002-8099-1216
Claudio AgostinelliDepartment of Mathematics, University of Trento, Trento, Italy.
Alessio FarcomeniDepartment of Economics and Finance, Tor Vergata University of Rome, Rome, Italy.ORCID 0000-0002-7104-5826

Funding

BaC INF-ACT S4-BEHAVE-MOD PE00000007 PNRR M4C2 Inv. 1.3 - NextGenerationEU I83C22001810007GNAMPA (INdAM - Istituto Nazionale di Alta Matematica)Italian Ministry of University and Research 2022LANNKC-CUPE53D23005810006Italian Ministry of University and Research P2022N5ZNPSmartData@PoliTO
6 · The paper itself

Abstract

We propose a MANOVA test for semicontinuous data that is applicable also when the dimension exceeds the sample size. The test statistic is obtained as a likelihood ratio, where the numerator and denominator are computed at the maxima of penalized likelihood functions under each hypothesis. Closed form solutions for the regularized estimators allow us to avoid computational overheads. We derive the null distribution using a permutation scheme. The power and level of the resulting test are evaluated in a simulation study. We illustrate the new methodology with two original data analyses, one regarding microRNA expression in human blastocyst cultures, and another regarding alien plant species invasion in the island of Socotra (Yemen).

Indexed as

BiostatisticsBlastocystIntroduced SpeciesMicroRNAsPlantsComputer SimulationGene ExpressionHumansIslandsLikelihood FunctionsYemenMicroRNAspenalized methodspermutation testszero‐inflation

Identifiers

PMID40302400
PMCPMC12041841

What OpenQuestion holds

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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.