Evidence map›Paper›PMID 38706584›Full record

ArticleAnnals of statistics2024

RANK-BASED INDICES FOR TESTING INDEPENDENCE BETWEEN TWO HIGH-DIMENSIONAL VECTORS.

Yeqing Zhou, Kai Xu, Liping Zhu, Runze Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of statistics, 2024. 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

4 authors.

Yeqing ZhouSchool of Mathematical Sciences, Tongji University.
Kai XuSchool of Mathematics and Statistics, Anhui Normal University.
Liping ZhuCenter for Applied Statistics, Institute of Statistics and Big Data, Renmin University of China.
Runze LiDepartment of Statistics, The Pennsylvania State University.

Funding

Statistical Models for Estimating and Projecting HIV/AIDS EpidemicsR01AI136664 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI BAO, LE · 2017 to 2021
$3.6M
Leveraging Big Data Science to Focus the HIV Response in Countries with Generalized HIV EpidemicsR01AI170249 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BARAL, STEFAN DAVID · 2022 to 2025
$2.9M
NIAID NIH HHS R01 AI136664NIAID NIH HHS R01 AI170249
6 · The paper itself

Abstract

To test independence between two high-dimensional random vectors, we propose three tests based on the rank-based indices derived from Hoeffding's

Indexed as

Bergsma-Dassios-Yanagimoto’s τ*Blum-Kiefer-Rosenblatt’s RDegenerate U-statisticsHoeffding’s DPrimary 62G10secondary 62G20

Identifiers

PMID38706584
PMCPMC11064990

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.