Data mining of effect sizes from PubMed abstracts: a cross-study conceptual replication | Zendy

Paul Monsarrat | Zendy; JeanNoël Vergnes | Zendy

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Data mining of effect sizes from PubMed abstracts: a cross-study conceptual replication

Author(s) -

Paul Monsarrat,

JeanNoël Vergnes

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty153

Subject(s) - replication (statistics) , computer science , data mining , computational biology , data science , statistics , biology , mathematics

Data mining of effect sizes from PubMed abstracts: a cross-study conceptual replication Paul Monsarrat and Jean-Noel Vergnes* Department of Anatomical Sciences and Radiology, Dental Faculty, Paul Sabatier University, Toulouse University Hospital (CHU de Toulouse), Toulouse, France, STROMALab, Université de Toulouse, CNRS ERL 5311, EFS, ENVT, Inserm, UPS, Toulouse, France, Department of Epidemiology and Public Health, Dental Faculty, Paul Sabatier University, Toulouse University Hospital (CHU de Toulouse), Toulouse, France and Division of Oral Health and Society, Faculty of Dentistry, McGill University, Montreal, QC, Canada

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