Evidence map›Paper›PMID 25071298›Full record

ArticleJournal of the American Statistical Association2014

Bayes variable selection in semiparametric linear models.

Suprateek Kundu, David B Dunson

Abstract read
In one paragraph

Article in Journal of the American Statistical Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Tractable Bayesian variable selection: beyond normality.Journal of the American Statistical Association · 2018
    Article
  5. Article
  6. 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.

Suprateek KunduPostdoctoral Research Associate in the Dept. of Statistics, Texas A&M University, College Station, TX 77843, USA.
David B DunsonArts & Sciences Distinguished Professor in Dept. Statistical Science, Duke University, Durham, NC 27708, USA.

Funding

Nonparametric Bayes Methods for Biomedical StudiesR01ES017240 · NIEHS · DUKE UNIVERSITY · PI DUNSON, DAVID BRIAN · 2009 to 2013
$1.2M
NIEHS NIH HHS R01 ES017240
6 · The paper itself

Abstract

There is a rich literature on Bayesian variable selection for parametric models. Our focus is on generalizing methods and asymptotic theory established for mixtures of

Indexed as

Asymptotic theoryBayes factorg-priorLarge pModel selectionPosterior consistencysmall nStochastic search variable selectionSubset selection

Identifiers

PMID25071298
PMCPMC4111209

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.