Researchers tested the credibility of past investigations reaching the conclusion of a new study: scientific researches are not always reliable. Few of the past studies could be replicated showing that some researches are either too biased or too distinctive to make a statement in history.
A decade ago, John P.A. Ioannidis published a provocative and much-discussed paper arguing that most published research findings are false. It’s starting to look like he was right.
A study that sought to replicate 100 findings published in three prominent psychology journals has found that, across multiple criteria, independent researchers could replicate less than half of the original findings. In some cases this may call into question the validity of some scientific findings, but it may also point to the difficulty of conducting effective replications and achieving reproducible results.
In collaboration with the University of Washington (UW) and Berkeley, and under the sponsorship of the Moore and Sloan foundations, NYU is working on a new initiative to 'harness the potential of data scientists and big data'. As part of this initiative, we aim to increase awareness of sharing, preservation, provenance, and reproducibility best practices across UW, NYU, Berkeley campuses and encourage their adoption.
When a cancer study is published in a prestigious peer-reviewed journal, the implication is the findings are robust, replicable, and point the way toward eventual treatments. Consequently, researchers scour their colleagues' work for clues about promising avenues to explore. Doctors pore over the pages, dreaming of new therapies coming down the pike. Which makes a new finding that nine out of 10 preclinical peer-reviewed cancer research studies cannot be replicated all the more shocking and discouraging.
Research at Duke University in genomics that involved fighting cancer by looking for gene patterns that would determine which drugs would best attack a particular cancer (no more trial-and-error treatment, considered a breakthrough). This research turned out to be wrong, due to flaws in the research (found by statisticians); if the research was reproducible, errors could have been found earlier and the patients could have continued their treatment.