Hi SAS experts, I am a beginner, planning to do multiple imputations for a data set. The data has the following variables ( both continuous and categorical); age, gender, education level, blood pressure, body weight index, cholesterol., mean daily steps, genotype, and outcome of dementia. All the variables including the outcome, have got missing values. Please do share what type of multiple imputations I have to go with along with the codes ( the primary aim is to validate a prediction model, i.e. to find how well the variables predict the outcome of dementia, done by finding the ROC curve!) I have attached the missing pattern table. Thanks in advance
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