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Visit Stack Exchange Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. Sign up to join this community proc genmod data=model_data; class sex; model para/n = dose sex vacnum /dist=bin link=logit type3; run; Analysis Of Maximum Likelihood Parameter Estimates Parameter DF Estimate Std Error Wald 95% Conf Lim Wald Chi-Square Pr |t|) (Intercept) -9.4013750 1.7613982 -5.337450 0.005935450 dose 3.9173794 0.7001133 5.595351 0.005007179 as.factor(sex)1 0.5704671 0.5568436 1.024466 0.363525300 vacnum -1.3336100 0.5887552 -2.265135 0.086189704 (That was small potatoes.) The next trap to worry about is that SAS and R code logistic regression for binomial data differently.

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