Practical Considerations for Variable Screening in the Super Learner is a research paper published in The New England Journal of Statistics in Data Science (2025). On theSindex it has a DataRank of 0.
Scored on demand from live citation data
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.
We only score data papers we can read in full — never from an abstract alone.
NIGMS NIH HHS
Grant: R01 GM106177
NCI NIH HHS
Grant: U24 CA086368
NIAID NIH HHS
Grant: R37 AI054165
NCI NIH HHS
Grant: R01 CA277133
NIH HHS
Grant: S10 OD028685
European Commission
Grant: 277133
Atypical Works in Pre-Industrial Europe. Pluriactivity, Mobility and Social Identities
National Institutes of Health
Grant: 5R37AI054165-12
Statistical Methods in HIV Vaccine Efficacy Trials
National Institutes of Health
Grant: 5U24CA086368-15
Early Detection Research Network: Data Management and Coordinating Center
National Institutes of Health
Grant: 1S10OD028685-01
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases Research
National Institutes of Health
Grant: 5R01CA277133-02
Accelerating biomarker development through novel statistical methods for analyzing phase III/IV studies
National Institutes of Health
Grant: 1R01GM106177-01
Statistical Methods for Selection and Evaluation of Biomarkers
FWCI
0.00
Citation Percentile
0.1%
Fields of Study
Keywords