Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Developing biomarker combinations in multicenter studies via direct maximization and penalization

Statistics in Medicine(2020)10.1002/sim.8673Source: DataRank Database

Developing biomarker combinations in multicenter studies via direct maximization and penalization is a research paper published in Statistics in Medicine (2020). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 0.00)OA: greenTopics (36)IDs (PubMed, PMC, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (3)

Chirag R. Parikh ORCID,Kathleen F. Kerr ORCID,Allison Meisner ORCID

Live enrichment

PubMed:32794249 PMC:PMC10556091 OpenAlex:https://openalex.org/W2736786428

National Heart, Lung, and Blood Institute

Grant: R01 HL085757

National Institute of Diabetes and Digestive and Kidney Diseases

Grant: F31 DK108356

National Institute of Diabetes and Digestive and Kidney Diseases

Grant: K24 DK090203

National Institutes of Health

Grant: 1R01HL085757-01A1

Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney Injury

National Institutes of Health

Grant: 5K24DK090203-03

Mentoring Program for Translational and Patient Oriented Research in AKI

National Institutes of Health

Grant: 5F31DK108356-02

Biomarkers of Kidney Injury: Statistical Methods for Risk Model Development and Evaluation

FWCI

0.00

Citation Percentile

0.0%

greenLicense: Wiley Online Library User Agreement

repositoryhttps://arxiv.org/pdf/1910.02105

publisherhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fsim.8673

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8673

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/sim.8673

Fields of Study

Statistical Methods and InferenceAcute Kidney Injury ResearchSepsis Diagnosis and Treatment01 natural sciences0101 mathematics

MeSH Terms

HumansPrognosisROC CurveBiomarkersLogistic ModelsArea Under Curve

Keywords

BiomarkerLogistic regressionMaximizationComputer scienceData miningMachine learningMathematicsMathematical optimizationBiologyMulticenterPenalizationBiomarker CombinationsAdjusted AucFOS: Computer and information sciencesPrognosisStatistics - ApplicationsApplications of statistics to biology and medical sciences; meta analysisMethodology (stat.ME)Logistic ModelsROC CurveArea Under CurveHumansApplications (stat.AP)Statistics - MethodologyBiomarkers

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Reduced inequalities