TY - JOUR
T1 - Fundamental Limitation on Applicability of Statistical Methods to Study of Living Organisms and Other Complex Systems
AU - Rabin, Yitzhak
PY - 2011/7
Y1 - 2011/7
N2 - A living organism is a complex system whose state is characterized by extremely large number of variables that far exceeds the number of individual organisms that can be experimentally studied. Since the relations between these variables and even their identities are largely unknown, the applicability of statistical methods of inference to the outcome of experiments in biomedical sciences is severely limited. Far from being a purely theoretical issue, this explains the recently proposed "Truth Wears Off" effect and sets a fundamental limitation on the applicability of machine-like approaches to the study of living organisms.
AB - A living organism is a complex system whose state is characterized by extremely large number of variables that far exceeds the number of individual organisms that can be experimentally studied. Since the relations between these variables and even their identities are largely unknown, the applicability of statistical methods of inference to the outcome of experiments in biomedical sciences is severely limited. Far from being a purely theoretical issue, this explains the recently proposed "Truth Wears Off" effect and sets a fundamental limitation on the applicability of machine-like approaches to the study of living organisms.
KW - Complex system
KW - Gaussian distribution
KW - Hidden variable
KW - Living organism
KW - Statistical independence
UR - http://www.scopus.com/inward/record.url?scp=79960447802&partnerID=8YFLogxK
U2 - 10.1007/s10955-011-0252-5
DO - 10.1007/s10955-011-0252-5
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AN - SCOPUS:79960447802
SN - 0022-4715
VL - 144
SP - 213
EP - 216
JO - Journal of Statistical Physics
JF - Journal of Statistical Physics
IS - 1
ER -