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

Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid

Biometrics(2023)10.1111/biom.13863Source: DataRank Database

Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid is a research paper published in Biometrics (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:

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 0.57)OA: hybridTopics (50)IDs (PubMed, PMC, 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)

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 (4)

Tim Layton,Jacob Wallace ORCID,Sherri Rose ORCID,Irina Degtiar ORCID

Live enrichment

PubMed:37018228 PMC:PMC13189650 OpenAlex:https://openalex.org/W3202324485

National Institutes of Health

Grant: DP2MD012722

National Institutes of Health

Grant: T32ES07142

National Institutes of Health

Grant: T32LM012411

National Institutes of Health

Grant: 7DP2MD012722-02

Machine Learning for Health Outcomes and Quality of Care in Low-Income Populations

National Institutes of Health

Grant: 5T32ES007142-33

Graduate Training in Biostatistics

National Institutes of Health

Grant: 5T32LM012411-03

Statistical and Quantitative Training in Big Data Health Science

FWCI

0.57

Citation Percentile

0.6%

Citation Trend

2024

2025

hybridLicense: cc-by

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/biom.13863

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/biom.13863

publisherhttps://academic.oup.com/biometrics/article-pdf/79/4/3859/56502663/biometrics_79_4_3859.pdf

journalhttps://doi.org/10.1111/biom.13863

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37018228

Fields of Study

Advanced Causal Inference TechniquesHealthcare Policy and ManagementHealth Systems, Economic Evaluations, Quality of Life01 natural sciences0101 mathematicsHumansBiasCausalityConfounding Factors, EpidemiologicMedicaidModels, StatisticalObservational Studies as TopicRandomized Controlled Trials as TopicUnited States

MeSH Terms

HumansMedicaidUnited StatesModels, StatisticalBiasCausalityConfounding Factors, EpidemiologicRandomized Controlled Trials as TopicObservational Studies as Topic

Keywords

Generalizability theoryEstimatorMedicaidEconometricsStatisticsComputer scienceMathematicsEconomicsSelection BiasCausal InferenceExternal ValidityTransportabilityUnmeasured ConfoundingFOS: Computer and information sciencesModels, Statistical62G05 (Primary), 62P25 (Secondary)Confounding Factors, EpidemiologicMachine Learning (stat.ML)United StatesCausalityMethodology (stat.ME)Observational Studies as TopicBiasStatistics - Machine LearningHumansStatistics - MethodologyRandomized Controlled Trials as Topic