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/*------------------<-- Start of Description -->--------------------\ | Produce an nxn contingency table and append the p-values for the | | sign test and Wilcoxon signed rank tests for numeric variables that| | are repeated ordered categorical responses. | |--------------<-- Start of Files or Arguments Needed -->-----------| | Parameters: data= name of the sas data set containing the | | variables for comparison | | var1= the first variable of interest | | var2= the second variable of interest | |---------------<-- End of Files or Arguments Needed -->------------| |--------------------------------------------------------------------| |----------------<-- Start of Example and Usage -->-----------------| | Example: data a; set in.6030400; run; | | %freqssr(a,pre_pain,fu_pain); | | Usaage: %FREQSSR(DATA,VAR1,VAR2); | | Reference: | | Follmann, Dean. "Modelling Transitional and Joint Marginal | | Distributions in Repeated Categorical Data", Statistics in | | Medicine, Volume 13, 467-477, 1994. | | | | Mark, Steven and Gail, Mitchell. "A Comparison of | | Likelihood-Based and Marginal Estimating Equation Methods | | for Analyzing Repeated Ordered Categorical Responses with | | Missing Data: Application to an Intervention Trial of | | Vitamin Prophylaxis for Oesophageal Dysplasia", Statistics | | in Medicine, Volume 13, 479-493, 1994. | \-------------------<-- End of Example and Usage -->---------------*/ %MACRO FREQSSR(DATA,VAR1,VAR2); /*--------------------------------------------\ | Author: Steve Wallrichs; | | Created: September 22, 1994; | | Purpose: Produce an nxn contingency table | | and append the p-values for the | | sign test and Wilcoxon signed rank | | tests for numeric variables that | | are repeated ordered categorical | | responses; | \--------------------------------------------*/ OPTIONS DQUOTE NOSOURCE NONOTES; DATA DIFF; SET &DATA; DIFF=&VAR1-&VAR2; KEEP DIFF &VAR1 &VAR2; PROC UNIVARIATE DATA=DIFF NOPRINT; VAR DIFF; OUTPUT OUT=TESTS PROBM=SIGN_P PROBS=SIGNR_P; DATA MACROVAR; SET TESTS; IF 0<=SIGN_P<=.0001 THEN S_PVAL='<= 0.0001 '; ELSE IF .0001