Categorical Data and Chi‐Square Tests
Michael Ross Chernick, Robert H. Friis
Abstract
Michael Ross Chernick, Robert H. Friis
Abstract
The chi-square test is one of the most commonly cited tests in the biomedical literature. The chi-square test may be used for several specific applications: The formula for many test statistics with approximate chi-square distributions Testing independence between two variables Contingency table or cross-tabulation of two variables Chi-square test for homogeneity is used in empirical investigations when… Chi-square tests also may be considered tests of proportion. In Simpson's paradox we see a particular association in each table; when we combine… McNemar's test is used for categorical data that are correlated. The concepts of relative risk and odds ratios are derived from epidemiologic studies. General caveats regarding use of the chi-square test
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The chi-square test is one of the most commonly cited tests in the biomedical literature. The chi-square test may be used for several specific applications: The formula for many test statistics with approximate chi-square distributions Testing independence between two variables Contingency table or cross-tabulation of two variables Chi-square test for homogeneity is used in empirical investigations when… Chi-square tests also may be considered tests of proportion. In Simpson's paradox we see a particular association in each table; when we combine… McNemar's test is used for categorical data that are correlated. The concepts of relative risk and odds ratios are derived from epidemiologic studies. General caveats regarding use of the chi-square test
Key concepts: Contingency table, McNemar's test, Categorical variable, Chi-square test, Statistics, Pearson's chi-squared test, Mathematics, Test (biology)