GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials is a research paper published in Computer Methods and Programs in Biomedicine (2023). On theSindex it has a DataRank of 0.564. It has been cited 19 times, with 5 citing works in its 1-hop citation network.
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.
Base Score Contribution
0.449
From this paper's citation signal
Citation Network Contribution
0.115
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
Patient-Centered Outcomes Research Institute
Grant: ME-2019C1-16196
NINR NIH HHS
Grant: R01 NR017636
National Institutes of Health
Grant: 1R01NR017636-01
National Institute of Nursing Research
FWCI
4.82
Citation Percentile
1.0%
Citation Trend
Fields of Study
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