Debiased lasso for generalized linear models with a diverging number of covariates is a research paper published in Biometrics (2021). On theSindex it has a DataRank of 0. It has been cited 15 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
National Science Foundation
Grant: DMS 1915711
National Institutes of Health
Grant: R01 AG056764
National Institutes of Health
Grant: R01 CA249096
National Institutes of Health
Grant: U01 CA209414
National Institutes of Health
Grant: 5R01AG056764-04
Cutting Edge Survival Methods for Epidemiological Data
National Institutes of Health
Grant: 5U01CA209414-09
The Boston Lung Cancer Survival Cohort
National Science Foundation
Grant: 1915711
High-Dimensional Inference beyond Linear Models
National Institutes of Health
Grant: 5R01CA249096-03
New Statistical Methods for Modelling Cancer Outcomes
FWCI
1.50
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals