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ZIKQ: An Innovative Centile Chart Method for Utilizing Natural History Data in Rare Disease Clinical Development

Statistica Sinica(2024)10.5705/ss.202023.0107Source: DataRank Database

ZIKQ: An Innovative Centile Chart Method for Utilizing Natural History Data in Rare Disease Clinical Development is a research paper published in Statistica Sinica (2024). On theSindex it has a DataRank of 0.

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0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.00)OA: bronzeTopics (18)IDs (PubMed, 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)

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Authors (3)

Wenfei Zhang ORCID,Ying Wei ORCID,Tianying Wang ORCID

Live enrichment

PubMed:26657633 OpenAlex:https://openalex.org/W4390930510

National Institutes of Health

Grant: 1RF1AG072272-01

Multi-omics approaches for gene discovery in Alzheimer's Disease.

National Science Foundation

Grant: 1953527

Conditional Quantile Random Forest with Biomedical and Biological Applications

FWCI

0.00

Citation Percentile

0.0%

bronzeLicense: arXiv Non-Exclusive Distribution

journalhttps://doi.org/10.5705/ss.202023.0107

publisherhttps://doi.org/10.5705/ss.202023.0107

journalhttp://doi.org/10.5705/ss.202023.0107

repositoryhttp://arxiv.org/abs/2405.17684

repositoryhttps://arxiv.org/pdf/2405.17684

Fields of Study

Genetic Associations and EpidemiologyGenomic variations and chromosomal abnormalitiesGenomics and Rare Diseases0101 mathematics01 natural sciences

Keywords

ChartComputer scienceNatural historyArtificial intelligenceStatisticsMedicineMathematicsInternal medicineMethodology (stat.ME)FOS: Computer and information sciencesApplications (stat.AP)Statistics - ApplicationsStatistics - Methodology

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Zero hunger