Random forest methodology for model-based recursive partitioning: the mobForest package for R
2013 · BMC Bioinformatics · 112 citations
https://doi.org/10.1186/1471-2105-14-125
B
Barry Eggleston
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
32
Papers
1.5K
Citations
14
h-index
16
i10-index
Barry Eggleston is an academic researcher from RTI International. The author has contributed to research in topics: Neonatal Respiratory Health Research & Hemoglobinopathies and Related Disorders & Statistical Methods in Clinical Trials. The author has an h-index of 14, co-authored 28 publications.
ORCID: 0000-0003-0472-9707Papers by this author
worksBuilding a predictive model of low birth weight in low- and middle-income countries: a prospective cohort study
2023 · BMC Pregnancy and Childbirth · 12 citations
https://doi.org/10.1186/s12884-023-05866-1
A prediction model of military combat and training exposures on VA service-connected disability: a CENC study
2019 · Brain Injury · 9 citations
https://doi.org/10.1080/02699052.2019.1655793
Pragmatic, randomized, blinded trial to shorten pharmacologic treatment of newborns with neonatal opioid withdrawal syndrome (NOWS)
2023 · Trials · 5 citations
https://doi.org/10.1186/s13063-023-07378-x
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat