Matteo21Q / jomo

R package for Joint Modelling Imputation
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Function to impute multiple ordinal variables with missing data #3

Open zjg540066169 opened 10 months ago

zjg540066169 commented 10 months ago

Hello,

Our data have several incomplete longitudinal ordinal variables. The variables have a certain categorical order so cannot be treated as categorical variables. I wonder if there is a function in the jomo package using the joint model to impute these ordinal variables? Thanks.

Best, Jungang

Matteo21Q commented 9 months ago

Dear Jungang,

Thanks for getting in touch! In jomo, differently for example from the similar standalone package REALCOM, we decided not to add the algorithm specifically for ordinal variables. We did this because we found generally results were good when imputing with the simple algorithm not assuming any order (see https://onlinelibrary.wiley.com/doi/10.1002/bimj.201800222 section 3.3.5), and there did not seem to be much loss of efficiency.

Hope this helps, Matteo

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Hello,

Our data have several incomplete longitudinal ordinal variables. The variables have a certain categorical order so cannot be treated as categorical variables. I wonder if there is a function in the jomo package using the joint model to impute these ordinal variables? Thanks.

Best, Jungang

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