# acad: oops! the scientific world is abuzz ... scientists first and foremost should "embrace uncertainty" and "be thoughtful, open and modest." ...

<< The scientific world is abuzz following recommendations by two of the most prestigious scholarly journals – The American Statistician and Nature – that the term "statistical significance" be retired. In their introduction to the special issue of The American Statistician on the topic, the journal’s editors urge "moving to a world beyond 'p<0.05,'" the famous 5 percent threshold for determining whether a study’s result is statistically significant.  (..) scientists first and foremost should "embrace uncertainty" and "be thoughtful, open and modest." >>

Valen E. Johnson.  Is it the end of 'statistical significance'? The battle to make science more uncertain. Texas A&M University. April 1, 2019.
 
http://theconversation.com/is-it-the-end-of-statistical-significance-the-battle-to-make-science-more-uncertain-114161  

Ronald L. Wasserstein, Allen L. Schirm,   Nicole A. Lazar. Moving to a World Beyond "p < 0.05". Am Statistician. Pages 1-19  Mar 20,  2019. doi: 10.1080/ 00031305.2019.1583913

https://www.tandfonline.com/doi/full/10.1080/00031305.2019.1583913

Scientists rise up against statistical significance. Valentin Amrhein, Sander Greenland, Blake McShane and more than 800 signatories call for an end to hyped claims and the dismissal of possibly crucial effects. Nature. COMMENT. Mar 20, 2019.

https://www.nature.com/articles/d41586-019-00857-9  

# acad: oops! sometimes they tend to reject H0 hypothesis instead of ...

<< We advertise interventions as working because statistically we think they're working. But they're actually not working. This is becoming a crisis in the sciences >> John List

Thomas Gaulkin. Scholars take aim at false positives in research. Sept 4, 2017

https://m.phys.org/news/2017-09-scholars-aim-false-positives.html

AA << propose to change the default P-value threshold for statistical significance from 0.05 to 0.005 for claims of new discoveries >>

<< The lack of reproducibility of scientific studies ... >>

Daniel J. Benjamin, James O. Berger, et al.  Redefine statistical significance. Nature Human Behaviour.  2017

https://www.nature.com/articles/s41562-017-0189-z

FonT

ricordo che gia' negli anni '70 (vale a dire oltre quarant'anni fa) in aggiunta a questa aleggiava  anche un'altra intrigante quaestio, quella relativa all'uso,  diffuso, di test parametrici anziche' altro ...

# acad: oops! sometimes scientific results are published which other researchers cannot reproduce ...

<< Ioannidis [John P. A. Ioannidis], an expert in statistics, medicine and health policy at Stanford University, has done more than anyone else to ring the alarm bells on science's quality control problems: scientific results are published which other researchers cannot reproduce >>

Andrea Saltelli. Opinion: Science's credibility crisis will get worse before it can get better. The Conversation. Nov 9, 2017

https://m.phys.org/news/2017-11-opinion-science-credibility-crisis-worse.html

https://theconversation.com/sciences-credibility-crisis-why-it-will-get-worse-before-it-can-get-better-86865

AA << investigate two critical dimensions of the credibility of empirical economics research: statistical power and bias >>

AA << survey 159 empirical economics literatures that draw upon 64,076 estimates of economic parameters reported in more than 6,700 empirical studies. Half of the research areas have nearly 90% of their results under-powered >>

<< nearly 80% of the reported effects in these empirical economics literatures are exaggerated; typically, by a factor of two and with one-third inflated by a factor of four or more >>

Ioannidis John PA, Stanley TD, Doucouliagos Hristos.  The Power of Bias in Economics Research. The Economic Journal. 2017; 127: F236–65 doi: 10.1111/ecoj.12461 Oct 24, 2017

http://onlinelibrary.wiley.com/doi/10.1111/ecoj.12461/full#