John P. A. Ioannidis - researchr alias

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Viewing Publication 1 - 18 from 18

2024

EU-US data transfers: an enduring challenge for health research collaborationsTeodora Lalova-Spinks, Peggy Valcke, John P. A. Ioannidis, Isabelle Huys. npjdm, 7(1), 2024. [doi]

2023

Prolific non-research authors in high impact scientific journals: meta-research studyJohn P. A. Ioannidis. scientometrics, 128(5):3171-3184, May 2023. [doi]

Ten (not so) simple rules for clinical trial data-sharingClaude Pellen, Anne Le Louarn, Gilliosa Spurrier-Bernard, Evelyne Decullier, Jean-Marie Chrétien, Eric Rosenthal, Gérard Le Goff, David Moher, John P. A. Ioannidis, Florian Naudet. ploscb, 19(3), March 2023. [doi]

2021

Comprehensive mapping of local and diaspora scientists: A database and analysis of 63, 951 Greek scientistsJohn P. A. Ioannidis, Chara Koutsioumpa, Angeliki Vakka, Georgios Agoranos, Chrysanthi Mantsiou, Maria Kyriaki Drekolia, Nikos Avramidis, Despina G. Contopoulos-Ioannidis, Konstantinos Drosatos, Jeroen Baas. qss, 2(2):733-752, 2021. [doi]

2020

Reporting of demographic data and representativeness in machine learning models using electronic health recordsSelen Bozkurt, Eli M. Cahan, Martin G. Seneviratne, Ran Sun, Juan Antonio Lossio Ventura, John P. A. Ioannidis, Tina Hernandez-Boussard. jamia, 27(12):1878-1884, 2020. [doi]

Empirical assessment of bias in machine learning diagnostic test accuracy studiesRyan J. Crowley, Yuan Jin Tan, John P. A. Ioannidis. jamia, 27(7):1092-1101, 2020. [doi]

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health careTina Hernandez-Boussard, Selen Bozkurt, John P. A. Ioannidis, Nigam H. Shah. jamia, 27(12):2011-2015, 2020. [doi]

Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990-2012) and of latest practices (2017-2018) in high-impact journalsDénes Szücs, John P. A. Ioannidis. neuroimage, 221:117164, 2020. [doi]

2017

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic reviewBenjamin A. Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis. jamia, 24(1):198-208, 2017. [doi]

Session IntroductionKonrad J. Karczewski, Nicholas P. Tatonetti, Chirag J. Patel, Arjun K. Manrai, C. Titus Brown, John P. A. Ioannidis. psb 2017: 117-119 [doi]

2016

A Systematic Review of Using Electronic Heath Records to Predict Clinical Events: Assessment of Opportunities and ChallengesBenjamin A. Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis. cri 2016: [doi]

Session IntroductionArjun K. Manrai, Chirag J. Patel, Nils Gehlenborg, Nicholas P. Tatonetti, John P. A. Ioannidis, Isaac S. Kohane. psb 2016: 180-182 [doi]

2014

2012

METRADISC-XL: A program for meta-analysis of multidimensional ranked discovery oriented datasets including microarraysElias Zintzaras, John P. A. Ioannidis. cmpb, 108(3):1243-1246, 2012. [doi]

2011

An empirical assessment of validation practices for molecular classifiersPeter J. Castaldi, Issa J. Dahabreh, John P. A. Ioannidis. bib, 12(3):189-202, 2011. [doi]

2008

Meta-analysis for ranked discovery datasets: Theoretical framework and empirical demonstration for microarraysElias Zintzaras, John P. A. Ioannidis. CANDC, 32(1):39-47, 2008. [doi]

2005

HEGESMA: genome search meta-analysis and heterogeneity testingElias Zintzaras, John P. A. Ioannidis. bioinformatics, 21(18):3672-3673, 2005. [doi]

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