GLZ Syntax - Example 4: Factorial Design and Binomial Response

This example illustrates how to analyze a factorial ANOVA design with a Binomial response variable, using the Probit link in the Startup Panel.

You can run this example with the example data file Center2.sta, Binomial distribution and Probit link.

GLZ;

{ Dependent (response) variable; note that the codes for the categories

   for the binomial response variable are specified in parentheses; if

   no codes are specified, the program will automatically use all distinct

   code values in the response variable.  }

   RESPONSE = SURVIVAL ("NO" "YES");

{ Specification of grouping variables (factors); note that

  optional grouping codes (values) are specified to identify

  the (selected) groups in the categorical predictors. }

   GROUPS = APPEARNC("MIN_BEGN" "GRT_BEGN"

                     "MIN_MAL"  "GRT_MAL")

            AGE("UNDER_50" "A_50TO69"  "OVER_69")

            LOCATION("TOKYO" "BOSTON" "GLAMORGN");

{ Here the bar operator is used to construct the full factorial

  design for the categorical predictor variables; the bar operator

  will evaluate to all main effects and interactions between the

  grouping variables; because of the @ operator (@2) only the main

  effects and interactions up to degree 2 (i.e., up to and including the

  2-way interactions) are generated.  }

   DESIGN = APPEARNC | AGE | LOCATION @2;

{ Variable Frequncy contains the counts for the table specified in the grouping  (categorical predictor) variables, i.e., data file Center2.sta contains aggregated (already tabulated) data. }

   COUNTV = FREQUNCY;

For more examples, see GLZ Syntax Examples.

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