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Bridged parametric survival models: General paradigm and speed improvements

Computer Methods and Programs in Biomedicine(2021)10.1016/j.cmpb.2021.106115Source: DataRank Database

Bridged parametric survival models: General paradigm and speed improvements is a research paper published in Computer Methods and Programs in Biomedicine (2021). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)Impact (FWCI 0.00)OA: greenTopics (35)IDs (PubMed, PMC, OpenAlex)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Dipankar Bandyopadhyay ORCID,Bruce Swihart ORCID

Live enrichment

PubMed:33992900 PMC:PMC8506655 OpenAlex:https://openalex.org/W3159813671

NCI NIH HHS

Grant: P30 CA016059

NIDCR NIH HHS

Grant: R01 DE024984

Intramural NIH HHS

Grant: Z99 AI999999

National Institutes of Health

FWCI

0.00

Citation Percentile

0.1%

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8506655

publisherhttps://api.elsevier.com/content/article/PII:S0169260721001905?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0169260721001905?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.cmpb.2021.106115

Fields of Study

Statistical Methods and InferenceStatistical Methods and Bayesian InferenceBayesian Methods and Mixture Models

MeSH Terms

ProbabilityModels, StatisticalCluster AnalysisNormal DistributionLikelihood FunctionsProportional Hazards ModelsSurvival Analysis

Keywords

Weibull distributionComputer scienceParametric statisticsMarginal likelihoodMarginal modelCluster analysisHazardScalabilityParametric modelGaussianAlgorithmStatisticsData miningEconometricsMathematicsMachine learningMaximum likelihoodDatabaseAccelerated Failure TimeLikelihoodMarginalPositive Stable DistributionProportional HazardParametric Survival ModelsHougaard