Evidence map›Paper›PMID 30078920›Full record

ArticleJournal of the American Statistical Association2018

Bayesian Semiparametric Multivariate Density Deconvolution.

Abhra Sarkar, Debdeep Pati, Antik Chakraborty, Bani K Mallick, Raymond J Carroll

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Statistical Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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  8. 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

5 authors.

Abhra SarkarDepartment of Statistical Science, Duke University, Durham, NC 27708-0251, USA, abhra.sarkar@duke.edu.
Debdeep PatiDepartment of Statistics, Florida State University, Tallahassee, FL 32306-4330, USA, debdeep@stat.fsu.edu.
Antik ChakrabortyDepartment of Statistics, Texas A&M University, 3143 TAMU, College Station, TX, 77843-3143 USA, antik@stat.tamu.edu.
Bani K MallickDepartment of Statistics, Texas A&M University, 3143 TAMU, College Station, TX 77843-3143, USA, bmallick@stat.tamu.edu.
Raymond J CarrollDepartment of Statistics, Texas A&M University, 3143 TAMU, College Station, TX 77843-3143, USA, and School of Mathematical and Physical Sciences, University of Technology Sydney, Broadway NSW 2007, Australia, carroll@stat.tamu.edu.

Funding

Measurement Error, Nutrition, Physical Activity and CancerU01CA057030 · NCI · TEXAS A&M UNIVERSITY · PI CARROLL, RAYMOND J. · 2015 to 2019
$2.8M
Graph-based Bayesian analysis of Genomics and Proteomics DataR01CA194391 · NCI · TEXAS A&M UNIVERSITY · PI BALADANDAYUTHAPANI, VEERABHADRAN, MALLICK, BANI K · 2016 to 2020
$2.0M
MEASUREMENT ERROR, NUTRITION AND BREAST/COLON CANCERR01CA057030 · NCI · TEXAS A&M UNIVERSITY SYSTEM · PI CARROLL, RAYMOND J. · 1992 to 2004
$1.3M
Nutrition, Biostatistics & Bioinformatics Training GrantT32CA090301 · NCI · TEXAS A&M UNIVERSITY · PI CARROLL, RAYMOND J. · 2016 to 2020
$712k
NCI NIH HHS R01 CA057030NCI NIH HHS R01 CA194391NCI NIH HHS T32 CA090301NCI NIH HHS U01 CA057030
6 · The paper itself

Abstract

We consider the problem of multivariate density deconvolution when interest lies in estimating the distribution of a vector valued random variable

Indexed as

B-splinesConditional heteroscedasticityLatent factor analyzersMeasurement errorsMixture modelsMultivariate density deconvolutionRegularizationShrinkage

Identifiers

PMID30078920
PMCPMC6075844

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.