Tutorial on Bonferroni Correction as a Post Hoc Analysis of a Significant Chi-Squared Test: A Methodological Guide in Food Science
نویسندگان
1 Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran, Associate professor of Biostatistics, Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2 Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran, Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
doi
10.18502/jfqhc.12.4.20410چکیده
Background: In medical research, analyzing the relationship between two categorical variables is common. While chi-square tests (e.g., Pearson's, McNemar's, and Cochran-Mantel-Haenszel) can determine if a significant association exists, they do not identify which specific categories differ. This tutorial aimed to examine post hoc tests that enable detailed pairwise comparisons of variable ...
