Posted in Education, Evidence-based Medicine, outcomes, outcomes measurement, Patient Safety, Protocols, Quality, Uncategorized

Scientists rise up against statistical significance

Our call to retire statistical significance and to use confidence intervals as compatibility intervals is not a panacea. Although it will eliminate many bad practices, it could well introduce new ones. Thus, monitoring the literature for statistical abuses should be an ongoing priority for the scientific community. But eradicating categorization will help to halt overconfident claims, unwarranted declarations of ‘no difference’ and absurd statements about ‘replication failure’ when the results from the original and replication studies are highly compatible. The misuse of statistical significance has done much harm to the scientific community and those who rely on scientific advice. Pvalues, intervals and other statistical measures all have their place, but it’s time for statistical significance to go.

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

Author:

A primary care physician by training, my passion is researching and writing about the importance restoring patient centered care, supporting independent private physicians, promoting free-market solutions and seeking sustainable fiscal policy in healthcare.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s