Hi, i need help with a powerful method to impute missing values from the variables height and weight in my data..see below missing values
Variable | Label | N | N Miss |
SUM_INSURED | SUM_INSURED | 23310 | 0 |
Monthly_income | SALARY | 23310 | 0 |
AGE_AT_INCEPT | AGE_AT_INCEPT | 23310 | 0 |
height_new | 13349 | 9961 | |
weight_new | 19484 | 3826 |
All of the different imputation techniques available in SAS are listed in the link below.
https://support.sas.com/kb/30/333.html#missvalue
Nearly 75% of the height_new variable is missing. I would be skeptical that any missing value imputation procedure will do a good job here.
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.