Evidence map›Paper›PMID 33290576›Full record

ArticleBiometrics2021

Rejoinder to "Nonparametric variable importance assessment using machine learning techniques".

Brian D Williamson, Peter B Gilbert, Marco Carone, Noah Simon

Abstract readComment
In one paragraph

Article in Biometrics, 2021. 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
–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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Brian D WilliamsonVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-7024-548X
Peter B GilbertDepartment of Biostatistics, University of Washington, Seattle, Washington.
Marco CaroneDepartment of Biostatistics, University of Washington, Seattle, Washington.ORCID 0000-0003-2106-0953
Noah SimonDepartment of Biostatistics, University of Washington, Seattle, Washington.

Funding

SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
STATISTICAL ISSUES IN AIDS RESEARCHR37AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI JAMES P HUGHES · 1999 to 2026
$9.8M
Statistical Methods in HIV Vaccine Efficacy TrialsR37AI054165 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert · 2010 to 2026
$6.7M
STATISTICAL ISSUES IN AIDS RESEARCHR01AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI HUGHES, JAMES P · 1989 to 2018
$5.3M
Data-Driven Statistical Learning with Applications to GenomicsDP5OD019820 · OD · UNIVERSITY OF WASHINGTON · PI SIMON, NOAH · 2014 to 2018
$1.7M
Evaluating predictors of HIV vaccine efficacy: Statistical methods for estimation, testing, and inferenceF31AI140836 · NIAID · UNIVERSITY OF WASHINGTON · PI WILLIAMSON, BRIAN DAVID · 2018 to 2019
$65k
National Institute of Allergy and Infectious Diseases F31AI140836National Institute of Allergy and Infectious Diseases R01AI029168National Institute of Allergy and Infectious Diseases UM1AI068635NIAID NIH HHS F31 AI140836NIAID NIH HHS R01 AI029168NIAID NIH HHS R37 AI029168NIAID NIH HHS R37 AI054165NIAID NIH HHS UM1 AI068635NIH HHS CP5OD019820NIH HHS DP5 OD019820
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsMachine Learning

Identifiers

PMID33290576
PMCPMC8029259

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.