George F. Borm

Radboud University Nijmegen

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method”.

The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method

BMC Medical Research Methodology(2014)10.1186/1471-2288-14-25

N/A

1.1DataRank · unranked

2062 citations

George F. Borm, John P. A. Ioannidis, Joanna IntHout

Small studies are more heterogeneous than large ones: a meta-meta-analysis

Journal of Clinical Epidemiology(2015)10.1016/j.jclinepi.2015.03.017

N/A

0.868DataRank · unranked

324 citations

George F. Borm, Jelle J. Goeman, John P. A. Ioannidis, Joanna IntHout

Obtaining evidence by a single well-powered trial or several modestly powered trials

Statistical Methods in Medical Research(2012)10.1177/0962280212461098

N/A

0.587DataRank · unranked

49 citations

George F. Borm, John P. A. Ioannidis, Joanna IntHout

Sample Size Considerations for GEE Analyses of Three-Level Cluster Randomized Trials

UNC Libraries(2020)10.17615/pd31-0n30

N/A

0DataRank · unranked

0 citations

Bing Lü, Steven Teerenstra, John S. Preisser, Theo van Achterberg, George F. Borm