Stopping rules and regression to the mean

robin CC BY 6/11/2013

Statistics Done Wrong — Statistics Done Wrong
▻http://www.refsmmat.com/statistics

If you’re a practicing scientist, you probably use statistics to analyze your data. From basic t tests and standard error calculations to Cox proportional hazards models and geospatial kriging systems, we rely on statistics to give answers to scientific problems.
This is unfortunate, because most of us don’t know how to do statistics.
Statistics Done Wrong is a guide to the most popular statistical errors and slip-ups committed by scientists every day, in the lab and in peer-reviewed journals. Many of the errors are prevalent in vast swathes of the published literature, casting doubt on the findings of thousands of papers. Statistics Done Wrong assumes no prior knowledge of statistics, so you can read it before your first statistics course or after thirty years of scientific practice.

robin CC BY

Simplicissimus @simplicissimus 6/11/2013

Saine lecture ! En CC-By…
Au hasard…
Another example: In the United States, counties with the lowest rates of kidney cancer tend to be Midwestern, Southern and Western rural counties. How could this be? You can think of many explanations: rural people get more exercise, inhale less polluted air, and perhaps lead less stressful lives. Perhaps these factors lower their cancer rates.
On the other hand, counties with the highest rates of kidney cancer tend to be Midwestern, Southern and Western rural counties.
La suite, avec l’explication, là (c’est le dernier paragraphe)
▻http://www.refsmmat.com/statistics/regression.html

Simplicissimus @simplicissimus
Reka @reka CC BY-NC-SA 6/11/2013

@données #data #statistiques

Reka @reka CC BY-NC-SA

Écrire un commentaire

Stopping rules and regression to the mean — Statistics Done Wrong

/regression.html