TY  - JOUR
A1  - ,  
T1  - �??All models are wrong, but some are useful�?�: On the non-bayesianstatistical robustness of Hilton�??s law
JO  - Eur. J. Anat.
SN  - 1136-4890
Y1  - 2020
VL  - 24
SP  - 75
EP  - 78
UR  - http://www.eurjanat.com/web/paper.php?id=190535aa
KW  - ahmed.lutfi@uob.edu.iq
N2  - Dear Editor,We shall discuss the possibility of a deficit in con-nection to the renowned Hilton�??s Law endorsed by the esteemed fellow of the Royal College of Sur-geons, Dr. John Hilton. Hilton�??s keen observation and assumption on the innervation patterns of joints remained unchallenged since the 19th centu-ry. Almost 150 years after, we propose putting Hil-ton�??s Law into a rigor test based on concepts of Non-Bayesian models of statistical inference, pre-dictive analytics, and measures of statistical power and accuracy.
ER  -