![]() ![]() In choosing measures of association to use in analyzing a two-way table, you should consider the study design (which indicates whether the row and column variables are dependent or independent), the measurement scale of the variables (nominal, ordinal, or interval), the type of association that each measure is designed to detect, and any assumptions required for valid interpretation of a measure. These statistics include Cochran-Mantel-Haenszel statistics and measures of agreement. PROC FREQ also performs analyses that adjust for any stratification variables by computing statistics across, as well as within, strata for n-way tables. Exact p-values and confidence intervals are available for many test statistics and measures. PROC FREQ computes asymptotic standard errors, confidence intervals, and tests for measures of association and measures of agreement. Odds ratios and relative risks for tables Risks (binomial proportions) and risk differences for tables The statistics for contingency tables include the following: ![]() To estimate the strength of an association, PROC FREQ computes measures of association that tend to be close to zero when there is no association and close to the maximum (or minimum) value when there is perfect association. ![]() To determine if an association exists, chi-square tests are computed. For some pairs of variables, you might want to examine the existence or strength of any association between the variables. For one-way tables, PROC FREQ also provides confidence limits and tests for binomial proportions, including tests for noninferiority and equivalence.įor contingency tables, PROC FREQ can compute various statistics to examine the relationships between two classification variables. For n-way tables, PROC FREQ provides stratified analysis by computing statistics across, as well as within, strata.įor one-way frequency tables, PROC FREQ computes goodness-of-fit tests for equal proportions or specified null proportions. For two-way tables, PROC FREQ computes tests and measures of association. The FREQ procedure produces one-way to n-way frequency and contingency (crosstabulation) tables. ![]()
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