533 citations · 1.1k across the 8 of their papers we have counts for
8 papers
Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics
František Bartoš, Maximilian Maier, Eric-Jan Wagenmakers +9
Publication selection bias undermines the systematic accumulation of evidence. To assess the extent of this problem, we survey over 68,000 meta-analyses containing over 700,000 eff…
Exact Inference for Disease Prevalence Based on a Test with Unknown Specificity and Sensitivity
Bryan Cai, John P. A. Ioannidis, Eran Bendavid +1
To make informative public policy decisions in battling the ongoing COVID-19 pandemic, it is important to know the disease prevalence in a population. There are two intertwined dif…
A Case Study in Model Failure? COVID-19 Daily Deaths and ICU Bed Utilisation Predictions in New York State
Vincent Chin, Noelle I. Samia, Roman Marchant +4
Forecasting models have been influential in shaping decision-making in the COVID-19 pandemic. However, there is concern that their predictions may have been misleading. Here, we di…
The importance of transparency and reproducibility in artificial intelligence research
Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny +17
In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening. However, the lack of detailed methods and computer code undermines…
Exploration, inference and prediction in neuroscience and biomedicine
Danilo Bzdok, John Ioannidis
The last decades saw dramatic progress in brain research. These advances were often buttressed by probing single variables to make circumscribed discoveries, typically through null…
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
Sebastian Vollmer, Bilal A. Mateen, Gergo Bohner +15
Machine learning (ML), artificial intelligence (AI) and other modern statistical methods are providing new opportunities to operationalize previously untapped and rapidly growing s…
Replication in Genome-Wide Association Studies
Peter Kraft, Eleftheria Zeggini, John P. A. Ioannidis
Replication helps ensure that a genotype-phenotype association observed in a genome-wide association (GWA) study represents a credible association and is not a chance finding or an…
Measuring co-authorship and networking-adjusted scientific impact
John P. A. Ioannidis
Appraisal of the scientific impact of researchers, teams and institutions with productivity and citation metrics has major repercussions. Funding and promotion of individuals and s…