Evidence map›Paper›PMID 29096038›Full record

ArticleBiometrics2018

Rejoinder to "A note on testing and estimation in marker-set association study using semiparametric quantile regression kernel machine".

Dehan Kong, Arnab Maity, Fang-Chi Hsu, Jung-Ying Tzeng

Abstract readComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Biometrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Dehan KongDepartment of Statistical Sciences, University of Toronto, Ontario, Canada.ORCID 0000-0003-3480-4915
Arnab MaityDepartment of Statistics, North Carolina State University, North Carolina, U.S.A.
Fang-Chi HsuDepartment of Biostatistical Sciences, Wake Forest University, North Carolina, U.S.A.
Jung-Ying TzengDepartment of Statistics and Bioinformatics Research Center, North Carolina State University, North Carolina, U.S.A.

Funding

Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
Pharmacogenomic studies in VISP: results & implications for clinical trial designU01HG005160 · NHGRI · UNIVERSITY OF VIRGINIA · PI SALE, MICHELE M, WORRALL, BRADFORD B · 2009 to 2011
$1.9M
Statistical Methods for Analysis of High-Dimensional Gene and Environment DataR00ES017744 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MAITY, ARNAB · 2011 to 2013
$663k
Statistical Methods for Analysis of High-Dimensional Gene and Environment DataK99ES017744 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI MAITY, ARNAB · 2010 to 2010
$76k
NCI NIH HHS P01 CA142538NHGRI NIH HHS U01 HG005160NIEHS NIH HHS K99 ES017744NIEHS NIH HHS R00 ES017744
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

BiomarkersModels, StatisticalModels, GeneticBiomarkers

Identifiers

PMID29096038
PMCPMC5932282

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.