Science and Technology Indicators for Norway 2017
Time series and international data are also included.
Send us a link
The Misinterpretation of P-Values
We wish to answer this question: If you observe a ‘significant’ p -value after doing a single unbiased experiment, what is the probability that your result is a false positive?
Spotting Shady Statistics
When statistical fudging is buried in the way data are sliced and diced after the fact or put through tortured analysis in a search for significant results.
Automatic Error Spotter Gains in Popularity
According to its developers, Statcheck gets it right in more than 95% of cases. Some outsiders still aren’t convinced.
Five Ways to Fix Statistics
"It is not statistics that is broken, but how it is applied to science." - S. Goodman
Controversial Software Is Proving Surprisingly Accurate at Spotting Errors in Psychology Papers
Controversial Software Is Proving Surprisingly Accurate at Spotting Errors in Psychology Papers
When Dutch researchers developed an open-source algorithm designed to flag statistical errors in psychology papers, it received mixed reaction from the research community.
Manipulating the Alpha Level Cannot Cure Significance Testing
Comments on "Redefine statistical significance"
Why 'Statistical Significance' Is Often Insignificant
Researchers who want professorships are sometimes driven to publish suspect findings.
'One-Size-Fits-All’ Threshold for P Values Under Fire
Scientists hit back at a proposal to make it tougher to call findings statistically significant.
The Distribution of P-values in Medical Research Articles Suggested Selective Reporting Associated with Statistical Significance
The Distribution of P-values in Medical Research Articles Suggested Selective Reporting Associated with Statistical Significance
Published P-values provide a window into the global enterprise of medical research. The aim of this study was to use the distribution of published P-values to estimate the relative frequencies of null and alternative hypotheses and to seek irregularities suggestive of publication bias.
What a Nerdy Debate about P-Values Shows about Science
The case for, and against, redefining "statistical significance."
Big Names in Statistics Want to Shake up Much-Maligned P Value
One of scientists’ favourite statistics — the P value — should face tougher standards, say leading researchers.
It Will Be Much Harder to Call New Findings 'Significant' If This Team Gets Its Way
Proposal to change widely accepted p-value threshold stirs reproducibility debate.
The Earth Is Flat (p > 0.05)
Significance thresholds and the crisis of unreplicable research
Visualize Data Instantly with Machine Learning
Today we’re rolling out new features in Sheets that make it even easier for you to visualize and share your data, and find insights your teams can act on.
Climate of Complete Certainty
"When someone is honestly 55 percent right, that’s very good and there’s no use wrangling. And if someone is 60 percent right, it’s wonderful, it’s great luck, and let him thank God."
Horizon 2020 Success Rates Are Higher Than They Appear
Take proposals that should never have been submitted out of the figures, and the chances of winning funding look a lot brighter.
The Earth Is Flat (p>0.05)
Significance thresholds and the crisis of unreplicable research
How We Edit Science Part 2: Significance Testing, P-Hacking and Peer Review
This is the second part in a series on how we edit science, looking at hypothesis testing, the problem of p-hacking and how the peer review process works.
How Statistics Lost Their Power – and Why We Should Fear What Comes Next
Are we leaving behind the age of statistics, and entering a new age of big data controlled by private companies?
It’s time for science to abandon the term ‘statistically significant’
It’s time for science to abandon the term ‘statistically significant’
Academic psychology and medical testing are both dogged by unreliability. The reason is clear: we got probability wrong.
A Simple Explanation for the Replication Crisis in Science
The replication crisis in science is largely attributable to a mismatch in our expectations of how often findings should replicate and how difficult it is to actually discover true findings in certain fields.
The Natural Selection of Bad Science
The persistence of poor methods results partly from incentives that favor them, leading to the natural selection of bad science. This dynamic requires no conscious strategizing - no deliberate cheating nor loafing - by scientists, only that publication is a principle factor for career advancement.
A Cambridge professor on how to stop being so easily manipulated by misleading statistics
A Cambridge professor on how to stop being so easily manipulated by misleading statistics
On the many ways to say the same thing.
Many scientific studies you read about are hinged on the wrong metric
The problem with p-values.
P values are just the tip of the iceberg
Ridding science of shoddy statistics will require scrutiny of every step, not merely the last one.
Swiss research in numbers
H-index, citations, self-citations and other figures about Switzerland, based on Scopus data.
×