Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank is a research paper published in Biostatistics (2020). On theSindex it has a DataRank of 0.546. It has been cited 37 times.
Scored on demand from live citation data
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.546
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: 5R01 EB001988-16
NSF
Grant: 19 DMS1208164
NIBIB NIH HHS
Grant: R01 EB001988
Novo Nordisk Fonden
Grant: NNF17OC0025806
NIGMS NIH HHS
Grant: R01 GM134483
NHGRI NIH HHS
Grant: U01 HG009080
NHGRI NIH HHS
Grant: R01 HG010140
National Science Foundation
Grant: 1208164
Flexible and Adaptive Statistical Modeling
National Institutes of Health
Grant: 5R01EB001988-14
New Statistical Methods for Medical Signals and Images
National Science Foundation
Grant: 1407548
Flexible Statistical Modeling
National Institutes of Health
Grant: 5R01HG010140-03
SOFTWARE FOR LARGE-SCALE INFERENCE OF THE GENETICS OF LIFESTYLE MEASURES, BIOMARKERS, AND COMMON AND RARE DISEASES
National Institutes of Health
Grant: 3U01HG009080-05S1
Optimizing imputation for diverse populations in a distributed framework
Funai Foundation for Information Technology and the Stanford University School of Medicine to Y.T
FWCI
3.89
Citation Percentile
0.9%
Citation Trend
Fields of Study
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