THIS IS ENTIRELY MISLEADING !!
THIS TABLE IS ENTIRELY MISLEADING!! IT REPRESENTS A
GROSS, ONGOING DISTORTION OF THE SCIENTIFIC METHOD
ASA Statement Released Today
Today, the American Statistical Association Board of Directors issued a statement on p-values
and statistical significance. We intend the statement, developed over many months in
consultation with a large panel of experts, to draw renewed and vigorous attention to changing
research practices that have contributed to a reproducibility crisis in science.
"Widespread use of 'statistical significance' (generally interpreted as 'p < 0.05') as a license for
making a claim of a scientific finding (or implied truth) leads to considerable distortion of the
scientific process," says the ASA statement (in part). By putting the authority of the world's
largest community of statisticians behind such a statement, we seek to begin a broad-based
discussion of how to more effectively and appropriately use statistical methods as part of the
scientific reasoning process.
In short, we envision a new era, in which the broad scientific community recognizes what
statisticians have been advocating for many years. In this "post p < .05 era," the full power
of statistical argumentation in all its nuance will be brought to bear to advance science,
rather than making decisions simply by reducing complex models and methods to a single
number and its relationship to an arbitrary threshold. This new era would be marked by
radical change to how editorial decisions are made regarding what is publishable, removing
the temptation to inappropriately hunt for statistical significance as a justification for publication
In such an era, every aspect of the investigative process would have its appropriate weight in
the ultimate decision about the value of a research contribution.
Is such an era beyond reach? We think not, but we need your help in making sure this opportunity
is not lost.
The statement
<http://amstat.
available freely online to all at The American Statistician Latest Articles website
<http://amstat.
You'll find an introduction that describes the reasons for developing the statement
and the process by which it was developed. You'll also find a rich set of discussion papers
commenting on various aspects of the statement and related matters.
This is the first time the ASA has spoken so publicly about a fundamental part of statistical
theory and practice. We urge you to share this statement with appropriate colleagues and
spread the word via social media. We also urge you to share your comments about the
statement with the ASA Community via ASA Connect<http://community.
Of course, you are more than welcome to email your comments directly to us at
ron@amstat.org<mailto:ron@
On behalf of the ASA Board of Directors, thank you!
Sincerely,
[http://www.amstat.org/images/
Jessica Utts
President
American Statistical Association
[http://www.amstat.org/images/
Ron Wasserstein
Executive Director
American Statistical Association
and statistical significance. We intend the statement, developed over many months in
consultation with a large panel of experts, to draw renewed and vigorous attention to changing
research practices that have contributed to a reproducibility crisis in science.
"Widespread use of 'statistical significance' (generally interpreted as 'p < 0.05') as a license for
making a claim of a scientific finding (or implied truth) leads to considerable distortion of the
scientific process," says the ASA statement (in part). By putting the authority of the world's
largest community of statisticians behind such a statement, we seek to begin a broad-based
discussion of how to more effectively and appropriately use statistical methods as part of the
scientific reasoning process.
In short, we envision a new era, in which the broad scientific community recognizes what
statisticians have been advocating for many years. In this "post p < .05 era," the full power
of statistical argumentation in all its nuance will be brought to bear to advance science,
rather than making decisions simply by reducing complex models and methods to a single
number and its relationship to an arbitrary threshold. This new era would be marked by
radical change to how editorial decisions are made regarding what is publishable, removing
the temptation to inappropriately hunt for statistical significance as a justification for publication
In such an era, every aspect of the investigative process would have its appropriate weight in
the ultimate decision about the value of a research contribution.
Is such an era beyond reach? We think not, but we need your help in making sure this opportunity
is not lost.
The statement
<http://amstat.
available freely online to all at The American Statistician Latest Articles website
<http://amstat.
You'll find an introduction that describes the reasons for developing the statement
and the process by which it was developed. You'll also find a rich set of discussion papers
commenting on various aspects of the statement and related matters.
This is the first time the ASA has spoken so publicly about a fundamental part of statistical
theory and practice. We urge you to share this statement with appropriate colleagues and
spread the word via social media. We also urge you to share your comments about the
statement with the ASA Community via ASA Connect<http://community.
Of course, you are more than welcome to email your comments directly to us at
ron@amstat.org<mailto:ron@
On behalf of the ASA Board of Directors, thank you!
Sincerely,
[http://www.amstat.org/images/
Jessica Utts
President
American Statistical Association
[http://www.amstat.org/images/
Ron Wasserstein
Executive Director
American Statistical Association
REACTION FROM MEMBERS OF SISBAYES:
|
Mar 10
 | | ||
non male anche se il p-value e' INCOMPRENSIBILE ...
annibale
http://fivethirtyeight.com/
mong the committee’s tasks: Selecting a definition of the p-value that
nonstatisticians could understand. They eventually settled on this:
“Informally, a p-value is the probability under a specified statistical
model that a statistical summary of the data (for example, the sample
mean difference between two compared groups) would be equal to or more
extreme than its observed value.” *That definition is about as clear as
mud* (I stand by my conclusion that even scientists can’t easily explain
p-values
<http://fivethirtyeight.com/
but the rest of the statement and the ideas it presents are far more
accessible.
annibale
http://fivethirtyeight.com/
mong the committee’s tasks: Selecting a definition of the p-value that
nonstatisticians could understand. They eventually settled on this:
“Informally, a p-value is the probability under a specified statistical
model that a statistical summary of the data (for example, the sample
mean difference between two compared groups) would be equal to or more
extreme than its observed value.” *That definition is about as clear as
mud* (I stand by my conclusion that even scientists can’t easily explain
p-values
<http://fivethirtyeight.com/
but the rest of the statement and the ideas it presents are far more
accessible.
| Romano Scozzafava | Mar 10 | ||
|
3:35 PM (1 hour ago)
| | ||
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