Bias correction models for electronic health records data in the presence of non-random sampling is a research paper published in Biometrics (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.
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National Institutes of Health
Grant: R01LM013344
National Institutes of Health
Grant: R01AG065330
National Institutes of Health
Grant: UL1TR001445
NIA NIH HHS
Grant: R01 AG054467
National Institutes of Health
Grant: 3UL1TR001445-03S1
Clinical and Translational Science Award
National Institutes of Health
Grant: 1R01LM013344-01A1
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record Data
National Institutes of Health
Grant: 1R01AG065330-01A1
EHR-based vs population-based CVD risk predictions for older patients with diabetes
FWCI
0.99
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals