Hi everyone, I have 2 categorical variables: Var1 - 3 levels, Var2- 5 levels (i.e., table is bigger than 2x2). Since I have multiple cells <5, I have run a Fisher's exact test with Monte Carlo estimation for the p value (code and output is below). I understand that if I want to determine which specific cells are not associated, I need to perform a post hoc test, but I'm not sure which test to perform, or how to do this in SAS? From doing some research online, it seems like a Bonferroni correction might be a suitable choice? Any help would be very much appreciated. CODE: proc freq data=winter_t1;
title "Fisher's exact with exact option";
tables var1*var2;
exact fisher/mc;
run; OUTPUT: Statistics for Table of Var1 by Var2 Statistic DF Value Prob Chi-Square 8 434.4255 <.0001 Likelihood Ratio Chi-Square 8 186.6401 <.0001 Mantel-Haenszel Chi-Square 1 92.1028 <.0001 Phi Coefficient 0.7704 Contingency Coefficient 0.6103 Cramer's V 0.5447 WARNING: 27% of the cells have expected counts less than 5. Chi-Square may not be a valid test. Fisher's Exact Test Table Probability (P) <.0001 Monte Carlo Estimate for the Exact Test Pr <= P <.0001 99% Lower Conf Limit <.0001 99% Upper Conf Limit 0.0005 Number of Samples 10000 Initial Seed 814770001 Sample Size = 732
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