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Selection: Ioannidis:JPA [5 articles] 

Publications by author Ioannidis:JPA.
 

Redefine statistical significance

  
Nature Human Behaviour, Vol. 2, No. 1. (1 September 2017), pp. 6-10, https://doi.org/10.1038/s41562-017-0189-z

Abstract

We propose to change the default P-value threshold for statistical significance for claims of new discoveries from 0.05 to 0.005 ...

 

A manifesto for reproducible science

  
Nature Human Behaviour, Vol. 1, No. 1. (10 January 2017), 0021, https://doi.org/10.1038/s41562-016-0021

Abstract

Improving the reliability and efficiency of scientific research will increase the credibility of the published scientific literature and accelerate discovery. Here we argue for the adoption of measures to optimize key elements of the scientific process: methods, reporting and dissemination, reproducibility, evaluation and incentives. There is some evidence from both simulations and empirical studies supporting the likely effectiveness of these measures, but their broad adoption by researchers, institutions, funders and journals will require iterative evaluation and improvement. We discuss the goals ...

 

Enhancing reproducibility for computational methods

  
Science, Vol. 354, No. 6317. (09 December 2016), pp. 1240-1241, https://doi.org/10.1126/science.aah6168

Abstract

Over the past two decades, computational methods have radically changed the ability of researchers from all areas of scholarship to process and analyze data and to simulate complex systems. But with these advances come challenges that are contributing to broader concerns over irreproducibility in the scholarly literature, among them the lack of transparency in disclosure of computational methods. Current reporting methods are often uneven, incomplete, and still evolving. We present a novel set of Reproducibility Enhancement Principles (REP) targeting disclosure challenges ...

 

Scientific communication is down at the moment, please check again later

  
Psychological Inquiry, Vol. 23, No. 3. (1 July 2012), pp. 267-270, https://doi.org/10.1080/1047840x.2012.699427

Abstract

Brian A. Nosek and Yoav Bar-Anan (this issue) offer a futuristic utopia on how scientific communication might work to the maximal benefit of science. I am highly sympathetic and even enthusiastic about the hallmarks of the changes that they propose. Their road map revolves around the principles of improving efficiency, transparency, openness, and maximal participation in the dissemination of scientific information. Almost all of the components of their utopia are in fact already applied or piloted in different scientific fields, so ...

 

Why most published research findings are false

  
PLOS Medicine, Vol. 2, No. 8. (30 August 2005), e124, https://doi.org/10.1371/journal.pmed.0020124

Abstract

There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there ...

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