Dear Statalist,
I have a question regarding to choosing variables for multiple imputation. For example, I have missing values for smoking, and I'd like to investigate the relationship between smoking and cancer under control of age and sex during regression. There are also some variables that I'd like to adjusted e.g., education and occupation. If I want to obtain a crude OR only ajdusted for age and sex, and an adjusted OR adjusted for education and occupation as well, should I include all variables when imputing smoking for logistic regression on crude OR? Or should I just include age and sex because I will only ajdust for them for a crude OR? Thank you!
Yue
Related Posts with Variables chosen for multiple imputation
Replacing String variables with another string variable. (String variables contain data from multi select questions)Hi. im trying to replace observations of a string variable from another string variable (Both the st…
Using numbers from tabulate var1 var2 into mcciDear Statalists, I need to perform a lot of McNemars using mcc or mcci (with a preference for mcci)…
Synthetic control for MicrodataI am using IPUMS microdata to run a differences-in-differences model and I want to augment it with a…
Data mergeHi Statalist, I am new to Stata and need help to merge two data sets. The merge or by variables are…
Running two loopsHey, I have the following problem. Let's suppose I have this data set country A B C Germany 5 6 7…
Subscribe to:
Post Comments (Atom)
0 Response to Variables chosen for multiple imputation
Post a Comment