Evidence map›Paper›PMID 25663725›Full record

ArticleJournal of the American Statistical Association2014

Variable-Domain Functional Regression for Modeling ICU Data.

Jonathan E Gellar, Elizabeth Colantuoni, Dale M Needham, Ciprian M Crainiceanu

Open access · greenAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 43 citations in OpenAlex.

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  5. Mean and Covariance Estimation for Functional Snippets.Journal of the American Statistical Association · 2022
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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

4 authors at 1 institution in 1 country.

Jonathan E GellarDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205.
Elizabeth ColantuoniDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205.
Dale M NeedhamPulmonary & Critical Care Medicine, and Physical Medicine &, School of Medicine, Johns Hopkins University, Baltimore, MD 21205.
Ciprian M CrainiceanuDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205.
Johns Hopkins University · US

Funding

VENTILATOR ASSOCIATED LUNG INJURY: MOLECULAR APPROACHESP50HL073994 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BROWER, ROY G. · 2003 to 2007
$21.3M
Statistical Methods for Multilevel Multivariate Functional StudiesR01NS060910 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ciprian M Crainiceanu · 2009 to 2026
$8.3M
Statistical methods for large n and p problemsR01EB012547 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI CAFFO, BRIAN SCOTT · 2010 to 2016
$2.1M
Statistical Methods for Mapping Human Brain DevelopmentR01MH095836 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI REISS, PHILIP T · 2012 to 2016
$2.1M
Pre-Doctoral Training in Environmental BiostatisticsT32ES012871 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI PENG, ROGER · 2004 to 2014
$1.9M
Statistical methods for large and complex databases of ultra-high-dimensionalR01NS085211 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2013 to 2017
$1.8M
Statistical methods for biosignals with varying domainsR01HL123407 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CRAINICEANU, CIPRIAN M · 2014 to 2017
$1.6M
NHLBI NIH HHS P50 HL073994NHLBI NIH HHS R01 HL123407NIBIB NIH HHS R01 EB012547NIEHS NIH HHS T32 ES012871NIMH NIH HHS R01 MH095836NINDS NIH HHS R01 NS060910NINDS NIH HHS R01 NS085211
6 · The paper itself

Abstract

We introduce a class of scalar-on-function regression models with subject-specific functional predictor domains. The fundamental idea is to consider a bivariate functional parameter that depends both on the functional argument and on the width of the functional predictor domain. Both parametric and nonparametric models are introduced to fit the functional coefficient. The nonparametric model is theoretically and practically invariant to functional support transformation, or support registration. Methods were motivated by and applied to a study of association between daily measures of the Intensive Care Unit (ICU) Sequential Organ Failure Assessment (SOFA) score and two outcomes: in-hospital mortality, and physical impairment at hospital discharge among survivors. Methods are generally applicable to a large number of new studies that record a continuous variables over unequal domains.

Indexed as

Functional data analysisLongitudinal dataNonparametric statisticsScalar-on-function regressionVariable-domain functional regressionVarying-coeffcient model

Identifiers

PMID25663725
PMCPMC4315944
OpenAlexW1973586004

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.