Basic experimental models in Homeopathy are of major interest because they could get insightful data about the ability of high dilutions to work in a biological system. Due to the extreme difficulty in the highlighting any possible effect and trusting its reliability, methods should be particularly stringent and highly standardized. Confounders, handling process, pre-analytical errors, misleading statistics and misinterpretations may lead to experimental biases. This article tries to elucidate those factors causing bias, taking into account some recent reported evidence in the field.
Bias and misleading concepts in an Arnica research study. Comments to improve experimental Homeopathy
Chirumbolo, Salvatore
;
2018-01-01
Abstract
Basic experimental models in Homeopathy are of major interest because they could get insightful data about the ability of high dilutions to work in a biological system. Due to the extreme difficulty in the highlighting any possible effect and trusting its reliability, methods should be particularly stringent and highly standardized. Confounders, handling process, pre-analytical errors, misleading statistics and misinterpretations may lead to experimental biases. This article tries to elucidate those factors causing bias, taking into account some recent reported evidence in the field.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
Bias and misleading concepts.pdf
accesso aperto
Descrizione: Articolo principale
Tipologia:
Altro materiale allegato
Licenza:
Creative commons
Dimensione
236.97 kB
Formato
Adobe PDF
|
236.97 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.