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主題	簡介
主題 1	Screen variables for non-linearity using empirical logit plots Score new data sets using the LOGISTIC and PLM procedures
主題 2	Identify the potential challenges when preparing input data for a model Detect and analyze interactions between factors
主題 3	Model selection and validation using training and validation data Perform ANOVA post hoc test to evaluate treatment effect
主題 4	Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection Use the REG or GLMSELECT procedure to perform model selection
主題 5	Analyze differences between population means using the GLM and TTEST procedures Assess classifier performance using the confusion matrix
主題 6	Assess the validity of a given regression model through the use of diagnostic and residual analysis Prepare Inputs for Predictive Model Performance
主題 7	Apply the principles of honest assessment to model performance measurement Optimize model performance through input selection
主題 8	Establish effective decision cut-off values for scoring Fit a multiple linear regression model using the REG and GLM procedures

參考：https://www.sas.com/en_us/certification/credentials/advanced-analytics/statistical-business-analyst.html

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