Evidence map›Paper›PMID 24443613›Full record

ArticleJournal of statistical computation and simulation2014

Fence Methods for Backcross Experiments.

Thuan Nguyen, Jie Peng, Jiming Jiang

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of statistical computation and simulation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. The E-MS Algorithm: Model Selection with Incomplete Data.Journal of the American Statistical Association · 2015
    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 at 2 institutions in 1 country.

Thuan NguyenDepartment of Public Health and Preventive Medicine, Oregon Health and Science University, Portland, OR 97239, U.S.A.
Jie PengDepartment of Statistics, University of California, Davis, CA 95616, U.S.A.
Jiming JiangDepartment of Statistics, University of California, Davis, CA 95616, U.S.A.
University of California, Davis · USOregon Health & Science University · US

Funding

OREGON CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024140 · NCRR · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2006 to 2011
$61.1M
Fence Methods for Mixed Model Selection: Theory and ApplicationsR01GM085205 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JIANG, JIMING, RAO, J SUNIL · 2010 to 2014
$1.4M
NCRR NIH HHS UL1 RR024140NIGMS NIH HHS R01 GM085205
6 · The paper itself

Abstract

Model search strategies play an important role in finding simultaneous susceptibility genes that are associated with a trait. More particularly, model selection via the information criteria, such as the BIC with modifications, have received considerable attention in quantitative trait loci (QTL) mapping. However, such modifications often depend upon several factors, such as sample size, prior distribution, and the type of experiment, e.g., backcross, intercross. These changes make it difficult to generalize the methods to all cases. The

Indexed as

high-dimensional variable selecitonmodel selectionrestricted fence (RF)

Identifiers

PMID24443613
PMCPMC3891925
OpenAlexW1966117337

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.