Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators is a research paper published in Biometrics (2024). On theSindex it has a DataRank of 0.208. It has been cited 3 times.
Scored on demand from live citation data
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Base Score Contribution
0.208
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 →National Institutes of Health
Grant: CA129102
NCI NIH HHS
Grant: R01 CA129102
NIEHS NIH HHS
Grant: P30 ES017885
NIA NIH HHS
Grant: R01 AG070897
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