Evidence map›Paper›PMID 29851025›Full record

ArticleAnnals of human genetics2018

Decomposing Pearson's χ

Zhengyang Zhou, Hung-Chih Ku, Guan Xing, Chao Xing

Abstract read
In one paragraph

Article in Annals of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Efficacy of traditional Chinese medicineFrontiers in medicine · 2024
    Pooled it
  2. Pooled it
  3. 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.

Zhengyang ZhouMcDermott Center of Human Growth and Development.
Hung-Chih KuDepartment of Mathematical Sciences, DePaul University, Chicago, IL 60604, USA.
Guan XingGilead Sciences, Inc., 199 East Blaine Street, Seattle, WA 98102, USA.
Chao XingMcDermott Center of Human Growth and Development.ORCID http://orcid.org/0000-0002-1838-0502

Funding

UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
NCATS NIH HHS UL1 TR001105
6 · The paper itself

Abstract

In case-control genetic association studies, a standard practice is to perform the Cochran-Armitage (CA) trend test under the assumption of the additive model because of its robustness. We could even identify situations in which it outperformed the analysis model consistent with the underlying inheritance mode. In this article, we analytically reveal the statistical basis that leads to the phenomenon. By elucidating the origin of the CA trend test as a linear regression model, we decompose Pearson's χ

Indexed as

Chi-Square DistributionLinear ModelsModels, GeneticCase-Control StudiesGenetic Association StudiesHumanslinear regressionordinary least squaresPearson's chi-squared testtrend test

Identifiers

PMID29851025
PMCPMC6105398

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.