Some aspects of associations and interactions between biomedical variables

The objective of this text is to investigate the association between biomedical variables using Fisher’s exact test as non-parametric tests. In common applications of Fisher’s exact test, one can find the associations between categorical variables through calculation the probability of significance. For the purpose of illustration, represented different levels of categorical variables, several contingency tables were simulated for the investigation the associations as well as interactions between biomedical variables. The results of Fisher’s exact test indicated some discrepancy between statistical and biological issues, which may indicate that some statistical result may not match biological features. The results presented in 13 Figures showed plots of descriptive variables (gender and disease incidence). The association pattern is more obvious when the lines representing the sex in the plots are not parallel; these imply that there is an interaction effect between gender and diseases incidence. Whereas, when the lines were parallel, these indicate no interaction.It was concluded that the non-significant biometric association between biomedical variables need precise biological understanding of the mode of action, and that further investigations are needed