I published a paper in the Southeast SAS Users' Group meeting in 2021 on the topic of missing value imputation, and I am sharing it with the SAS community.
I describe the purpose of missing...
Missing Value Imputation SESUG Paper 16-2021.pdf (1,888 KB)
Hi All, I am looking for a macro code which needs to identify missing values percentage for each variable and drop the variables withmissing values greater than 80% automatically. &n...
...round 4000+ variables and 3000+ observations. The data is from 30 different centers, but I am only interested in the data from 3 centers. Some variables are the same for all centers, but variable...
I am trying to use CATX() to concatenate lists of character variables of within a dataset, each of which contains a different number of missingvariables on the right end. I am getting them c...
...imension was missing from our newly developed performance-based scholarship grid, which had led to near-record enrollment. In response, we developed an improved scholarship grid using class rank as a s...
Missing You Less and Less - Learning to Love Admissions Again with Predictive Model Imputations.pdf (4,183 KB)
I have written a paper, "Missing Value Imputation", that I presented at the October Southeast SAS Users' Group 2021 meeting. It contains a historical summary of attempts to perform imputation of missing...
Missing Value Imputation SESUG Paper 16-2021.pdf (1,888 KB)
Hi, I just have a data set which contains many variables (>30). For this data set, any variables withmissing values are problematic. So the task is to delete all those variables as long as they c...
...nd TSTANDARD=CENTER options in the MODEL statement center the specified variables. The CLASS option expands the specified variables to a set of indicator variables, and the ZERO=LAST option sets to missing...
...ut it is not always the case in reality.
And we all know that the value of a missingvariable is always the smallest so I have the feeling that this code above will not work properly with a variable t...
