Evidence map›Paper›PMID 31128623›Full record

ArticleSpatial and spatio-temporal epidemiology2019

Spatially-explicit survival modeling with discrete grouping of cancer predictors.

Georgiana Onicescu, Andrew B Lawson, Jiajia Zhang, Mulugeta Gebregziabher, Kristin Wallace, Jan M Eberth

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

6 authors.

Georgiana OnicescuDepartment of Statistics, Western Michigan University, Kalamazoo, MI, United States. Electronic address: georgiana.onicescu@wmich.edu.
Andrew B LawsonDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, United States.
Jiajia ZhangDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Mulugeta GebregziabherDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, United States.
Kristin WallaceDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, United States.
Jan M EberthDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.

Funding

Advances in Geospatial Survival Modeling for Small Area Cancer DataR03CA176702 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LAWSON, ANDREW B. · 2014 to 2015
$146k
NCI NIH HHS R03 CA176702
6 · The paper itself

Abstract

In this paper, the spatially explicit survival model is extended by allowing the relation with the explanatory covariates to be spatially adaptive using a threshold conditional autoregressive (CAR) model, further extended to allow the inclusion of multiple threshold levels. The model is applied to prostate cancer survival based on Louisiana SEER registry, which holds individual records linked to vital outcomes and is geocoded at the parish level.

Indexed as

AdultAgedAged, 80 and overDemographyHumansLouisianaMaleMiddle AgedModels, StatisticalProstatic NeoplasmsRegistriesSEER ProgramSpatial AnalysisSurvival AnalysisBayesianLatentProstate cancerSpatial

Identifiers

PMID31128623
PMCPMC6541023

What OpenQuestion holds

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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.