Hello, I have many cross tabulations using proc freq like below: variable: city (Ottawa, Montreal, Toronto, Vancouver), sex (male vs female) and drinking (heavy drinker, moderate drinker, no drinker) proc freq data=mydata;        Tables city * sex * drinking / nopercent nocum;         weight = individual_weight ; run; I'd like to compare the row percents among several tables, for example: Whether the difference between male vs female perceived heavy drinker is significant  or whether the difference between women living in Ottawa vs Montreal that perceived moderate drinker is significant .....   I can do CHISQ option for table statement, but it doesn't give me what I want. I need to compute CL for each estimations. But, I don't know how? Thank you, ... View more

Hello,   I'm operating cross tabulations like below: proc surveyfreq data=mydata varmethod=BRR;                          tables Var1 * Var2 * Var3                            Var1 * Var2 * Var4                            Var1 * Var2 * Var5                              ………………                             ……………..                             ……………..                            Var1 * Var2 * Var9 / row cl nofreq nowt nocellpercent nototal;                 repweights BSW1-BSW1000;                 weight  weight_var; run; Var1 has 5 values, var2 has 2 values and var3 or var 4...… can have from 3 to 6 values. SAS operation is really slow for this. I tried only one table  (tables Var1 * Var2 * Var3 ) with 2 bootstrap weight (BSW1-BSW2) and it took SAS 1.5mins to complete it. Any suggestions? Thank you so much.   ... View more