Targeted learning with an undersmoothed LASSO propensity score model for large-scale covariate adjustment in health-care database studies is a research paper published in American Journal of Epidemiology (2024). On theSindex it has a DataRank of 0.406. It has been cited 14 times.
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.
Base Score Contribution
0.406
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 →Patient-Centered Outcomes Research Institute
Grant: ME-2022C1-25646
National Institutes of Health
Grant: RO1LM013204
US Food and Drug Administration
Grant: 75F40119D10037
US Food and Drug Administration
Grant: 75F40119F19002
NLM NIH HHS
Grant: R01 LM013204
FWCI
7.48
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords