Evidence map›Paper›PMID 33304024›Full record

ArticleStatistics & probability letters2020

Test-statistic correlation and data-row correlation.

Bin Zhuo, Duo Jiang, Yanming Di

Abstract read
In one paragraph

Article in Statistics & probability letters, 2020. 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.

Bin ZhuoDepartment of Statistics, Oregon State University, Corvallis, OR, USA.
Duo JiangDepartment of Statistics, Oregon State University, Corvallis, OR, USA.
Yanming DiDepartment of Statistics, Oregon State University, Corvallis, OR, USA.

Funding

NB Regression and HOA Inference for RNA-Seq Gene Expression AnalysisR01GM104977 · NIGMS · OREGON STATE UNIVERSITY · PI DI, YANMING · 2012 to 2014
$553k
NIGMS NIH HHS R01 GM104977
6 · The paper itself

Abstract

When a statistical test is repeatedly applied to rows of a data matrix, correlations among data rows will give rise to correlations among corresponding test statistics. We investigate the relationship between test-statistic correlation and data-row correlation and discuss its implications.

Indexed as

bivariate normaltest-statistic correlationtwo-sample t-test

Identifiers

PMID33304024
PMCPMC7723344

What OpenQuestion holds

Textmetadata
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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.