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Additional Read in may 2019

Unclog pipeline for new medicines

Improving the way research is done: the UK Reproducibility Network

Major medical journals don’t follow their own rules for reporting results from clinical trials

Replication on the Rise

Statistical-significance thinking is not just a bad way to publish, it’s also a bad way to think

Duke University’s huge misconduct fine is a reminder to reward rigour

The Importance of Predefined Rules and Prespecified Statistical Analyses

Microbes May Take Some of the Blame for the Reproducibility Crisis

The replication crisis is good for science

Scientists rise up against statistical significance

It’s time to talk about ditching statistical significance

Retiring statistical significance would give bias a free pass

Raise the bar rather than retire significance

Retire significance, but still test hypotheses

Statisticians’ Call To Arms: Reject Significance And Embrace Uncertainty!

800 scientists say it’s time to abandon “statistical significance”

The Guardian view on statistics in sciences: gaming the (un)known

Qualität medizinischer Studien – So will Berlin für saubere Forschung sorgen (in German)

Statistical Inference in the 21st Century: A World Beyond p<0.05

“Retire Statistical Significance”: The discussion

Dump ‘Statistical Significance,’ Then Teach Scientists Statistics

Innovator Story: Wrestling the Octopus

Rein in the four horsemen of irreproducibility

CMU Partners with Protocols.io to Enable Scientific Practices Sharing

Minor Tweak, Major Impact Episode 02: Dr. Glenn Begley, CEO of BioCurate

FAIRsharing – where to look when you don’t know where to look

Universities and Research Transparency: Are Times Changing?

Data sharing and how it can benefit your scientific career

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