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A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data: A Novel Method for Fitting the Proportional Hazards Model to Interval-Censored Data

UNC Libraries(2020)10.17615/2e9e-vz47Source: DataRank Database

A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data: A Novel Method for Fitting the Proportional Hazards Model to Interval-Censored Data is a research paper published in UNC Libraries (2020). On theSindex it has a DataRank of 0.

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Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 0.00)OA: greenTopics (11)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Zaina P. Qureshi ORCID,Christopher S. McMahan ORCID,Michael G. Hudgens ORCID,Lianming Wang ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W4301421611

FWCI

0.00

Citation Percentile

0.2%

greenLicense: http://rightsstatements.org/vocab/InC/1.0/

repositoryhttps://doi.org/10.17615/2e9e-vz47

Fields of Study

Statistical Methods and Bayesian InferenceHealth Systems, Economic Evaluations, Quality of LifeHydrology and Drought Analysis

Keywords

Interval (graph theory)StatisticsProportional hazards modelInterval dataMathematicsComputer scienceApplied mathematicsCombinatorics