Logistic Regression Sas Output. The probit and the complementary log log link functions are also appropriate for binomial data. Proc genmod performs a logistic regression on the data in the following sas statements.
The ods output statement writes the association table from each selection step to a sas data set. The output statement creates a new sas data set that contains all the variables in the input data set and optionally the estimated linear predictors and their standard error estimates the estimates of the cumulative or individual response probabilities and the confidence limits for the cumulative probabilities. For these data drug and x are explanatory variables.
The logistic regression coefficients give the change in the log odds of the outcome for a one unit increase in the predictor variable.
The ods output statement writes the association table from each selection step to a sas data set. Proc genmod performs a logistic regression on the data in the following sas statements. We want a model that predicts probabilities between 0 and 1 that is s shaped. The output statement creates a new sas data set that contains all the variables in the input data set and optionally the estimated linear predictors and their standard error estimates the estimates of the cumulative or individual response probabilities and the confidence limits for the cumulative probabilities.
