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Latest Reproducibility Project Study Fails to Replicate
Kerry Grens | Mar 13, 2018
Researchers did not observe the same link between a bacterium and human colon cancer that prior investigators had reported.
Want to Boost Reproducibility? Get Another Lab Involved
Jim Daley | Feb 22, 2018
Including as few as two labs in a study improved the odds of getting the true effect size by as much as 23 percentage points, according to a replication model.
Scientists Continue to Use Outdated Methods
Catherine Offord | Jan 9, 2018
The use of underperforming computational tools is a major offender in science’s reproducibility crisis—and there’s growing momentum to avoid it.
New Resource Ranks Chemical Probes for Human Proteins
Abby Olena | Dec 14, 2017
With many probes being seriously flawed, Probe Miner helps researchers find those that are most specific and effective for manipulating their chosen proteins.
One Way to Fix Reproducibility Problems: Train Scientists Better
Katarina Zimmer | Nov 28, 2017
Leonard Freedman, president of the Global Biological Standards Institute, discusses the causes of irreproducible science and his latest effort to spread best practices.
Elsevier Signs Up to Transparency Guidelines
Catherine Offord | Sep 5, 2017
The publisher will ask its journal editors to adopt widely accepted standards on transparency and openness in scientific communication.
Final Nail Hammered into NgAgo Coffin
Kerry Grens | Aug 3, 2017
The paper describing the gene-editing method is retracted.
Preclinical Cancer Studies Not as Reproducible as Thought
Jef Akst | Jun 30, 2017
Researchers overestimate the reliability of findings from animal studies that are part of the Reproducibility Project: Cancer Biology.
Cancer Studies Seem Replicable
Kerry Grens | Jun 27, 2017
In the latest findings from the Reproducibility Project: Cancer Biology, independent researchers achieve results that mirror those of two earlier papers.
More Than 1 Percent of Clinical Trial Reports Appear Flawed
Jef Akst | Jun 5, 2017
A new screening tool flags dozens of papers with potential errors.