HEGESMA: genome search meta-analysis and heterogeneity testing. - Elias Zintzaras; John P. A. Ioannidis (Bioinform., 2005)

Meta-analysis for ranked discovery datasets: Theoretical framework and empirical demonstration for microarrays. - Elias Zintzaras; John P. A. Ioannidis (Comput. Biol. Chem., 2008)

An empirical assessment of validation practices for molecular classifiers. - Peter J. Castaldi; Issa J. Dahabreh; John P. A. Ioannidis (Briefings Bioinform., 2011)

METRADISC-XL: A program for meta-analysis of multidimensional ranked discovery oriented datasets including microarrays. - Elias Zintzaras; John P. A. Ioannidis (Comput. Methods Programs Biomed., 2012)

A Web-based database of genetic association studies in cutaneous melanoma enhanced with network-driven data exploration tools. - Emmanouil Athanasiadis; Kyriaki Antonopoulou; Foteini Chatzinasiou; Christina M. Lill; Marilena M. Bourdakou; Argiris Sakellariou; Katerina Kypreou; Irene Stefanaki; Evangelos Evangelou; John P. A. Ioannidis; Lars Bertram; Alexander J. Stratigos; et al. (Database J. Biol. Databases Curation, 2014)

HELOW: A program for testing extreme homogeneity in meta-analysis. - Elias Zintzaras; John P. A. Ioannidis (Comput. Methods Programs Biomed., 2014)

A Systematic Review of Using Electronic Heath Records to Predict Clinical Events: Assessment of Opportunities and Challenges. - Benjamin Alan Goldstein; Ann Marie Navar; Michael J. Pencina; John P. A. Ioannidis (CRI, 2016)

Session Introduction. - Arjun K. Manrai; Chirag J. Patel; Nils Gehlenborg; Nicholas P. Tatonetti; John P. A. Ioannidis; Isaac S. Kohane (PSB, 2016)

Session Introduction. - Konrad J. Karczewski; Nicholas P. Tatonetti; Chirag J. Patel; Arjun K. Manrai; C. Titus Brown; John P. A. Ioannidis (PSB, 2017)

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review. - Benjamin Alan Goldstein; Ann Marie Navar; Michael J. Pencina; John P. A. Ioannidis (J. Am. Medical Informatics Assoc., 2017)

Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness. - Sebastian J. Vollmer; Bilal A. Mateen; Gergo Bohner; Franz J. Király; Rayid Ghani; Pall Jonsson; Sarah Cumbers; Adrian Jonas; Katherine S. L. McAllister; Puja Myles; David Granger; Mark Birse; et al. (CoRR, 2018)

Reporting of demographic data and representativeness in machine learning models using electronic health records. - Selen Bozkurt; Eli M. Cahan; Martin G. Seneviratne; Ran Sun; Juan Antonio Lossio-Ventura; John P. A. Ioannidis; Tina Hernandez-Boussard (J. Am. Medical Informatics Assoc., 2020)

Empirical assessment of bias in machine learning diagnostic test accuracy studies. - Ryan J. Crowley; Yuan Jin Tan; John P. A. Ioannidis (J. Am. Medical Informatics Assoc., 2020)

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care. - Tina Hernandez-Boussard; Selen Bozkurt; John P. A. Ioannidis; Nigam H. Shah (J. Am. Medical Informatics Assoc., 2020)

Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990-2012) and of latest practices (2017-2018) in high-impact journals. - Dénes Szücs; John P. A. Ioannidis (NeuroImage, 2020)

Comprehensive mapping of local and diaspora scientists: A database and analysis of 63, 951 Greek scientists. - John P. A. Ioannidis; Chara Koutsioumpa; Angeliki Vakka; Georgios Agoranos; Chrysanthi Mantsiou; Maria Kyriaki Drekolia; Nikos Avramidis; Despina G. Contopoulos-Ioannidis; Konstantinos Drosatos; Jeroen Baas (Quant. Sci. Stud., 2021)

Ten (not so) simple rules for clinical trial data-sharing. - Claude 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 (PLoS Comput. Biol., 2023)

Prolific non-research authors in high impact scientific journals: meta-research study. - John P. A. Ioannidis (Scientometrics, 2023)

Metrics to Detect Small-Scale and Large-Scale Citation Orchestration. - Iakovos Evdaimon; John P. A. Ioannidis; Giannis Nikolentzos; Michail Chatzianastasis; George Panagopoulos; Michalis Vazirgiannis (CoRR, 2024)

EU-US data transfers: an enduring challenge for health research collaborations. - Teodora Lalova-Spinks; Peggy Valcke; John P. A. Ioannidis; Isabelle Huys (npj Digit. Medicine, 2024)

Evolving patterns of extreme publishing behavior across science. - John P. A. Ioannidis; Thomas A. Collins; Jeroen Baas (Scientometrics, 2024)