Adjusting for incomplete baseline covariates in randomized controlled trials: a cross-world imputation framework is a research paper published in Biometrics (2024). On theSindex it has a DataRank of 0.269. It has been cited 5 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?
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Base Score Contribution
0.269
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: HL083075
National Institutes of Health
Grant: HL083129
National Institutes of Health
Grant: UL1-RR-024134
National Institutes of Health
Grant: UL1 RR024989
National Heart, Lung, and Blood Institute
Grant: R24 HL114473
National Heart, Lung, and Blood Institute
Grant: 75N92019R002
National Institute of Allergy and Infectious Diseases
Grant: NIAID 5 UM1 AI068617
NHLBI NIH HHS
Grant: U01 HL083129
NHLBI NIH HHS
Grant: U01 HL083075
NCRR NIH HHS
Grant: UL1 RR024134
NIAID NIH HHS
Grant: UM1 AI068617
National Institutes of Health
Grant: 3UM1AI068617-20S1
HPTN SDMC: HPTN 096 Getting to Zero among Highest HIV Incidence (HHI) Men who have Sex with Men (MSM) in the American South: Testing an Integrated Strategy
FWCI
1.97
Citation Percentile
0.9%
Citation Trend
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