Evidence map›Paper›PMID 29265882›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2018

Survival Forests with R-Squared Splitting Rules.

Hong Wang, Xiaolin Chen, Gang Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2018. 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

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

3 authors.

Hong Wang1 School of Mathematics and Statistics, Central South University , Changsha, China .
Xiaolin Chen2 School of Statistics, Qufu Normal University , Qufu, China .
Gang Li3 Department of Biostatistics, School of Public Health, University of California at Los Angeles , Los Angeles, California.

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JOHN A GLASPY · 1985 to 2026
$134.5M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI David A. Nathanson · 2017 to 2026
$25.2M
UCLA Center for Excellence in Pancreatic DiseasesP01AT003960 · NCCIH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GO, VAY LIANG W · 2007 to 2011
$5.6M
NCATS NIH HHS UL1 TR000124NCCIH NIH HHS P01 AT003960NCI NIH HHS P30 CA016042NCI NIH HHS P50 CA211015
6 · The paper itself

Abstract

In modeling censored data, survival forest models are a competitive nonparametric alternative to traditional parametric or semiparametric models when the function forms are possibly misspecified or the underlying assumptions are violated. In this work, we propose a survival forest approach with trees constructed using a novel pseudo R

Indexed as

AlgorithmsDatabases, FactualModels, StatisticalComputer SimulationHumansNeoplasmsSurvival Analysiscensored datarandom survival forestR-squaredsplitting functiontime-to-event data

Identifiers

PMID29265882
PMCPMC5905875

What OpenQuestion holds

Textmetadata
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.