Evidence map›Paper›PMID 38094514›Full record

ArticleJournal of multivariate analysis2022

Functional delta residuals and applications to simultaneous confidence bands of moment based statistics.

Fabian J E Telschow, Samuel Davenport, Armin Schwartzman

Abstract read
In one paragraph

Article in Journal of multivariate analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Fabian J E TelschowInstitut für Mathematik, Humboldt Universität zu Berlin, Rudower Chaussee 25, 12489 Berlin, Deutschland.
Samuel DavenportDivision of Biostatistics, University of California, San Diego.
Armin SchwartzmanDivision of Biostatistics, University of California, San Diego.

Funding

Spatial inference methods for image analysisR01EB026859 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SCHWARTZMAN, ARMIN · 2019 to 2022
$1.7M
NIBIB NIH HHS R01 EB026859
6 · The paper itself

Abstract

Given a functional central limit (fCLT) for an estimator and a parameter transformation, we construct random processes, called functional delta residuals, which asymptotically have the same covariance structure as the limit process of the functional delta method. An explicit construction of these residuals for transformations of moment-based estimators and a multiplier bootstrap fCLT for the resulting functional delta residuals are proven. The latter is used to consistently estimate the quantiles of the maximum of the limit process of the functional delta method in order to construct asymptotically valid simultaneous confidence bands for the transformed functional parameters. Performance of the coverage rate of the developed construction, applied to functional versions of Cohen's d, skewness and kurtosis, is illustrated in simulations and their application to test Gaussianity is discussed.

Indexed as

BootstrappingCentral Limit TheoremConfidence RegionsFunctional Data AnalysisNon-Linear StatisticsPrimary 62M40Secondary 60F05Simultaneous Confidence Bands

Identifiers

PMID38094514
PMCPMC10718528

What OpenQuestion holds

Textmetadata
LicenceTDM
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.