Evidence map›Paper›PMID 25792623›Full record

ArticleBiostatistics (Oxford, England)2015

Bayesian partial linear model for skewed longitudinal data.

Yuanyuan Tang, Debajyoti Sinha, Debdeep Pati, Stuart Lipsitz, Steven Lipshultz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biostatistics (Oxford, England), 2015. 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

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.

Yuanyuan TangDepartment of Statistics, Florida State University, Tallahassee, FL, USA.
Debajyoti SinhaDepartment of Statistics, Florida State University, Tallahassee, FL, USA.
Debdeep PatiDepartment of Statistics, Florida State University, Tallahassee, FL, USA debdeep@stat.fsu.edu.
Stuart LipsitzBrigham and Women's Hospital, Boston, MA, USA.
Steven LipshultzDepartment of Pediatrics, Wayne State University School of Medicine and Children's Hospital of Michigan, Detroit, MI, USA.

Funding

Semiparametric Bayesian Survival AnalysisR01CA069222 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI SINHA, DEBAJYOTI · 2002 to 2010
$1.3M
NCI NIH HHS R01 CA069222NCI NIH HHS R01CA60679NCI NIH HHS R01CA69222
6 · The paper itself

Abstract

Unlike majority of current statistical models and methods focusing on mean response for highly skewed longitudinal data, we present a novel model for such data accommodating a partially linear median regression function, a skewed error distribution and within subject association structures. We provide theoretical justifications for our methods including asymptotic properties of the posterior and associated semiparametric Bayesian estimators. We also provide simulation studies to investigate the finite sample properties of our methods. Several advantages of our method compared with existing methods are demonstrated via analysis of a cardiotoxicity study of children of HIV-infected mothers.

Indexed as

Bayes TheoremLinear ModelsBiostatisticsChildChild, PreschoolComputer SimulationFemaleHeart Defects, CongenitalHIV InfectionsHumansInfantInfant, NewbornInfectious Disease Transmission, VerticalLongitudinal StudiesPregnancyPregnancy Complications, InfectiousDirichlet processMedian regressionPartial linear modelSemiparametricSkewed error

Identifiers

PMID25792623
PMCPMC5963473

What OpenQuestion holds

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Registered trials

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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.