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- Effect_Model_law abstract "The Effect Model law states that a natural relationship exists for each individual 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 applies to a single individual, individuals within a population, or groups.This law enables the prediction of the (absolute) benefit of a treatment for a given patient. It has wide-reaching implications in R&D for new pharmaceutical products as well as personalized medicine.The law was serendipitously discovered in the 1990s by Jean-Pierre Boissel. While studying the effectiveness of class-I antiarrhythmic drugs in the prevention of death after myocardial infarction, he stumbled upon a situation which contradicts one of the basic premises of meta-analysis theory, i.e. that the heterogeneity test was significant at the same time for the assumption “the relative risk is a constant” and “is a constant”.Boissel formulated the hypothesis that the antiarrhythmic drugs efficacy was a function combining a beneficial effect that is proportional to and a constant adverse effect , independent of . The mathematical expression of this model is a linear equation with two parameters, the risk of lethal adverse event caused by treatment and the slope of the line which represents the true beneficial risk reduction. This equation gives the treatment net mortality reduction:".
- Effect_Model_law thumbnail COM_MAT_20130606_Effect_Model_wikipedia_page.001.png?width=300.
- Effect_Model_law wikiPageExternalLink Applicability.pdf.
- Effect_Model_law wikiPageExternalLink foundations.html.
- Effect_Model_law wikiPageID "39608144".
- Effect_Model_law wikiPageRevisionID "575280353".
- Effect_Model_law subject Category:Medical_statistics.
- Effect_Model_law comment "The Effect Model law states that a natural relationship exists for each individual 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 applies to a single individual, individuals within a population, or groups.This law enables the prediction of the (absolute) benefit of a treatment for a given patient.".
- Effect_Model_law label "Effect Model law".
- Effect_Model_law sameAs m.0w1d07w.
- Effect_Model_law sameAs Q17011749.
- Effect_Model_law sameAs Q17011749.
- Effect_Model_law wasDerivedFrom Effect_Model_law?oldid=575280353.
- Effect_Model_law depiction COM_MAT_20130606_Effect_Model_wikipedia_page.001.png.
- Effect_Model_law isPrimaryTopicOf Effect_Model_law.
