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J. Pers. Med. 2013, 3(3), 177-190; doi:10.3390/jpm3030177

Effect Model Law: An Approach for the Implementation of Personalized Medicine

* ,
Novadiscovery SAS, 60 Avenue Rockefeller, Lyon 69008, France
* Author to whom correspondence should be addressed.
Received: 12 July 2013 / Revised: 31 July 2013 / Accepted: 9 August 2013 / Published: 15 August 2013
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The effect model law states that a natural relationship exists between the frequency (observation) or the probability (prediction) of a morbid event without any treatment and the frequency or probability of the same event with a treatment. This relationship is called the effect model. It applies to a single individual, individuals within a population, or groups. In the latter case, frequencies or probabilities are averages of the group. The relationship is specific to a therapy, a disease or an event, and a period of observation. If one single disease is expressed through several distinct events, a treatment will be characterized by as many effect models. Empirical evidence, simulations with models of diseases and therapies and virtual populations, as well as theoretical derivation support the existence of the law. The effect model could be estimated through statistical fitting or mathematical modelling. It enables the prediction of the (absolute) benefit of a treatment for a given patient. It thus constitutes the theoretical basis for the design of practical tools for personalized medicine.
Keywords: treatment decision-making; effect model; personalized medicine treatment decision-making; effect model; personalized medicine
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Boissel, J.-P.; Kahoul, R.; Marin, D.; Boissel, F.-H. Effect Model Law: An Approach for the Implementation of Personalized Medicine. J. Pers. Med. 2013, 3, 177-190.

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