SAT: a Surrogate-Assisted Two-wave case boosting sampling method, with application to EHR-based association studies is a research paper published in Journal of the American Medical Informatics Association (2021). On theSindex it has a DataRank of 0.330. It has been cited 8 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.
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Base Score Contribution
0.330
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.
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Grant: 1R01AI130460
National Institutes of Health
Grant: 1R01AG073435
National Institutes of Health
Grant: 1R56AG074604
National Institutes of Health
Grant: 1R01LM013519
National Institutes of Health
Grant: 1R56AG069880
National Institutes of Health
Grant: R21CA227613
National Institutes of Health
Grant: R21CA143242
NIH
Grant: R01CA093772
NIH
Grant: R01CA120562
NIH
Grant: U01CA063731
Patient-Centered Outcomes Research Institute (PCORI) Project Program Awards
Grant: ME-2019C3-18315
Patient-Centered Outcomes Research Institute (PCORI) Project Program Awards
Grant: ME-2018C3-14899
National Institutes of Health
Grant: 3R21CA227613-01A1S1
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Grant: 5R01AG073435-04
TRiPOD: Toward Reusable Phenotypes in Observational Data for AD/ADRD - managing definitions and correcting bias
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Grant: 3R01CA120562-03S1
Commonly Used Medications and Breast Cancer Recurrence
National Institutes of Health
Grant: 3R01CA093772-03S1
Breast Cancer Treatment Effectiveness in Older Women
National Institutes of Health
Grant: 5R21CA143242-02
Algorithms to Identify Second Breast Cancer Events from Electronic Data
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Grant: 5R56AG069880-02
Advancing Drug Repositioning for Alzheimer’s Disease using Real-world Data
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Grant: 5U01CA063731-04S1
CORE LABORATORY
National Institutes of Health
Grant: 1R01AI130460-01
Dynamic learning for post-vaccine event prediction using temporal information in VAERS
National Institutes of Health
Grant: 5R01LM013519-03
PheBC: bias correction methods for EHR derived phenotype
FWCI
0.64
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals