Calculating CI variables in multi level multiple regression models
Posted: Wed Aug 24, 2016 3:52 pm
Hi everyone
I have used MLwIN as part of a study to do linear and logistic multiple MLM and we calculated the CI for the variables manually using 1.96 calculation. However, I have since been advised by the statistician (who I worked with)- that he has identified that these are wrong as it does not consider the different levels (we hand calculated the p values as well and I did notice that some of the CI overlapped when the p-values were significant). I really want to amend this now I know, but we cannot establish how we calculate them.
STATA provides CI but calculates the models in a slightly different way.
are you able to give us any advice to do this from the MLWiN output (manually Is fine)?
I am not a statistician by any means but I can share your response with the statistician I have worked with if I do not understand!
Many Thanks
Helen
I have used MLwIN as part of a study to do linear and logistic multiple MLM and we calculated the CI for the variables manually using 1.96 calculation. However, I have since been advised by the statistician (who I worked with)- that he has identified that these are wrong as it does not consider the different levels (we hand calculated the p values as well and I did notice that some of the CI overlapped when the p-values were significant). I really want to amend this now I know, but we cannot establish how we calculate them.
STATA provides CI but calculates the models in a slightly different way.
are you able to give us any advice to do this from the MLWiN output (manually Is fine)?
I am not a statistician by any means but I can share your response with the statistician I have worked with if I do not understand!
Many Thanks
Helen