Difference between revisions of "Conclusions on the status quo in the logic of medical language regarding the masticatory system"

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  }}</ref><ref>{{cita libro  
  | autore = Rodgers JL
  | autore = Rodgers JL
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  | titolo = The epistemology of mathematical and statistical modeling: a quiet methodological revolution
  | titolo = The epistemology of mathematical and statistical modeling: a quiet methodological revolution
  | url = https://psycnet.apa.org/record/2009-24989-001
  | url = https://psycnet.apa.org/record/2009-24989-001
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  | LCCN =  
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  }}</ref><ref>Meehl P, «'''The problem is epistemology, not statistics: replace significance tests by confidence intervals and quantify accuracy of risky numerical predictions» ''' in eds Harlow L. L., Mulaik S. A., Steiger J. H.,  What If There Were No Significance Tests? - editors. (Mahwah: Erlbaum, 393–425. [Google Scholar]</ref> and to the statistical data of a 'Classical Probability' based on Bayes' Theorem (which we will discuss in the next chapters)<ref>Sprenger J, Hartmann S, «'''Bayesian Philosophy of Science. Variations on a Theme by the Reverend Thomas Bayes'''», Oxford University Press, 2019, Oxford</ref> and then witness a relative brake on the subject <math>P-value</math> <ref>Wasserstein RL, Schirm AL, Lazar NA, «'''Moving to a World Beyond p < 0.05'''», in [[:Category:Citations from Am Stat|Am Stat]], 2019.<br><small>DOI:10.1080/00031305.2019.1583913</small> </ref><ref>Dettweiler Ulrich, «'''The Rationality of Science and the Inevitability of Defining Prior Beliefs in Empirical Research'''», in [[:Category:Citations from Front Psychol|Front Psychol]], 2019.<br><small>DOI:10.3389/fpsyg.2019.01866</small> </ref> and all that is <nowiki>'</nowiki>'''Epistomology'''<nowiki>'</nowiki>, that almost spontaneously highlighted another fundamental passage that of 'Interdisciplinarity', a phenomenon that only with great effort is recognized as important as the specialized disciplines.</small></blockquote>
  }}</ref><ref>{{cita libro
| autore = Meehl P
| titolo = The problem is epistemology, not statistics: replace significance tests by confidence intervals and quantify accuracy of risky numerical predictions
| url = https://psycnet.apa.org/record/2009-24989-001
| volume =
| opera = Am Psychol
| anno = 1997
| editore = American Psychological Association
| città = Washington, DC
| ISBN = 9781315827353
| DOI = 10.1037/a0018326
| PMID = 20063905
| PMCID =
| oaf = <!-- qualsiasi valore -->
| LCCN =
| OCLC =
}}</ref> and to the statistical data of a 'Classical Probability' based on Bayes' Theorem (which we will discuss in the next chapters)<ref>Sprenger J, Hartmann S, «'''Bayesian Philosophy of Science. Variations on a Theme by the Reverend Thomas Bayes'''», Oxford University Press, 2019, Oxford</ref> and then witness a relative brake on the subject <math>P-value</math> <ref>Wasserstein RL, Schirm AL, Lazar NA, «'''Moving to a World Beyond p < 0.05'''», in [[:Category:Citations from Am Stat|Am Stat]], 2019.<br><small>DOI:10.1080/00031305.2019.1583913</small> </ref><ref>Dettweiler Ulrich, «'''The Rationality of Science and the Inevitability of Defining Prior Beliefs in Empirical Research'''», in [[:Category:Citations from Front Psychol|Front Psychol]], 2019.<br><small>DOI:10.3389/fpsyg.2019.01866</small> </ref> and all that is <nowiki>'</nowiki>'''Epistomology'''<nowiki>'</nowiki>, that almost spontaneously highlighted another fundamental passage that of 'Interdisciplinarity', a phenomenon that only with great effort is recognized as important as the specialized disciplines.</small></blockquote>


* '''Interdisciplinarity'''
* '''Interdisciplinarity'''
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