When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?
An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values.
Which statement and option combination will generate these statistics?
In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)
Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?
