DocumentCode
3027657
Title
A less arbitrary method for inferring cause and effect
Author
Allen, Allen D.
Author_Institution
Algorithms Inc., Northridge, CA, USA
fYear
1990
fDate
4-7 Nov 1990
Firstpage
140
Lastpage
142
Abstract
A method of inferring causality that is based on the concept of signal and noise and does not suffer from being arbitrary is presented. It has been used successfully to determine whether changes in the clinical status of patients with a chronic disease were due to random fluctuations or to the effects of an investigational treatment. The method is not arbitrary because probabilities are compared to the probability of the outcome that is most likely to occur at random (the most noisy outcome) and significance is determined by a unique inflection point on a particular curve
Keywords
patient monitoring; probability; random processes; signal processing; statistics; causality; chronic disease; clinical status; investigational treatment; patient monitoring; probabilities; random fluctuations; random processes; signal processing; statistical inference; unique inflection point; Control system synthesis; Curing; Diseases; Equations; Fluctuations; Medical treatment; Performance evaluation; Probability; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
0-87942-597-0
Type
conf
DOI
10.1109/ICSMC.1990.142076
Filename
142076
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