Keeping loaded data in mlwin and running several models with runmlwin
Posted: Tue Mar 17, 2020 12:05 am
Hi,
I am using runmlwin via Stata to run 4-level random intercept logistic models on a dataset with 811k observations. As such, it takes a few hours for the dataset to load into mlwin before the model runs. I have a null, age sex adjusted, and fully adjusted models I need to run; and then models with subgroups from the main dataset.
Is there a way to code runmlwin so that it only loads the data into mlwin once, and then can run several models on that same worksheet/data? Currently, it runs one model, and then starts to re-load all 811k observations - very inefficient considering how long it takes to load.
Thanks,
Dorit
I am using runmlwin via Stata to run 4-level random intercept logistic models on a dataset with 811k observations. As such, it takes a few hours for the dataset to load into mlwin before the model runs. I have a null, age sex adjusted, and fully adjusted models I need to run; and then models with subgroups from the main dataset.
Is there a way to code runmlwin so that it only loads the data into mlwin once, and then can run several models on that same worksheet/data? Currently, it runs one model, and then starts to re-load all 811k observations - very inefficient considering how long it takes to load.
Thanks,
Dorit