A flexible approach for causal inference with multiple treatments and clustered survival outcomes is a research paper published in Statistics in Medicine (2022). On theSindex it has a DataRank of 0. It has been cited 15 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.
National Heart, Lung, and Blood Institute
Grant: 1R01HL159077‐01A1
National Cancer Institute
Grant: R21CA245855
Patient-Centered Outcomes Research Institute
Grant: ME_2017C3_9041
NICHD NIH HHS
Grant: P2C HD041020
NHLBI NIH HHS
Grant: R01 HL159077
National Institutes of Health
Grant: 7R21CA245855-02
Flexible Bayesian approaches to causal inference with multilevel survival data and multiple treatments
National Institutes of Health
Grant: 5R01HL159077-03
Bayesian machine learning for causal inference with incomplete longitudinal covariates and censored survival outcomes
FWCI
2.85
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals