Evidence map›Paper›PMID 31130762›Full record

ArticleJournal of the American Statistical Association2019

Accurate and Efficient

Yaowu Liu, Jun Xie

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Statistical Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cauchy combination test: a powerful test with analyticJournal of the American Statistical Association · 2020
    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

2 authors at 2 institutions in 1 country.

Yaowu LiuDepartment of Biostatistics, Harvard School of Public Health.
Jun XieDepartment of Statistics, Purdue University.
Harvard University · USPurdue University West Lafayette · US

Funding

Nonparametric Methods for Clinical Predictive Model in Pharmacogenomics ResearchR21GM101504 · NIGMS · PURDUE UNIVERSITY · PI XIE, JUN · 2014 to 2015
$335k
NIGMS NIH HHS R21 GM101504
6 · The paper itself

Abstract

It is of fundamental interest in statistics to test the significance of a set of covariates. For example, in genome-wide association studies, a joint null hypothesis of no genetic effect is tested for a set of multiple genetic variants. The minimum

Indexed as

Berk-Jones testGenome-wide association studyHigh dimensionalityHigher criticismMonte Carlo method

Identifiers

PMID31130762
PMCPMC6530914
OpenAlexW2782675972

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.