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

Relative sparsity for medical decision problems

Statistics in Medicine(2023)10.1002/sim.9755Source: DataRank Database

Relative sparsity for medical decision problems is a research paper published in Statistics in Medicine (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

Download PDF

Cite:

Linked data & code

Relative Sparsity for Medical Decision Problems · arXiv

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 (7 grants)Impact (FWCI 0.51)OA: greenTopics (43)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

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)

Sally W. Thurston ORCID,Ashkan Ertefaie ORCID,Samuel J. Weisenthal ORCID

Live enrichment

PubMed:37315949 PMC:PMC10524900 OpenAlex:https://openalex.org/W4380574792

National Institute of Environmental Health Sciences

Grant: T32ES007271

National Institute of General Medical Sciences

Grant: T32GM007356

National Institute of Neurological Disorders and Stroke

Grant: R61 NS120240

NIDA NIH HHS

Grant: R01 DA048764

National Institutes of Health

Grant: 1R61NS120240-01

Advancing personalized medicine in PD using harmonized multi-site clinical data

National Institutes of Health

Grant: 5T32GM007356-32

Medical Scientist Training Program Grant

National Institutes of Health

Grant: 5T32ES007271-14

TRAINING ENVIRONMENTAL HEALTH BIOSTATISTICS

FWCI

0.51

Citation Percentile

0.6%

Citation Trend

2023

2025

greenLicense: Wiley Online Library User Agreement

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10524900/pdf/nihms-1896342.pdf

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9755

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10524900

journalhttps://doi.org/10.1002/sim.9755

Fields of Study

Statistical Methods and InferenceAdvanced Causal Inference TechniquesMachine Learning in Healthcare02 engineering and technology01 natural sciences0202 electrical engineering, electronic engineering, information engineering0101 mathematics

MeSH Terms

Clinical Decision-MakingDelivery of Health CareHumans

Keywords

InterpretabilityContext (archaeology)Health careCovariateComputer scienceObservational studyHealthcare policyHealth policyWork (physics)EconometricsActuarial scienceMedicineStatisticsMathematicsArtificial intelligenceMachine learningHealth care reformBusinessEconomicsReinforcement LearningCausal InferenceIndividualized MedicineLassoTrust Region Policy OptimizationFOS: Computer and information sciencesComputer Science - Machine LearningClinical Decision-MakingApplications of statistics to biology and medical sciences; meta analysisMachine Learning (cs.LG)Methodology (stat.ME)HumansDelivery of Health CareStatistics - Methodology

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions

Relative Sparsity for Medical Decision Problems

10.48550/arxiv.2211.16566arXiv