I am trying to fit a multilevel model on some longitudinal data. In this data I have ~300k observations on ~ 1400 patients. The goal is to have a multilevel model where level 0 models a patients baseline risk and level 1 models additional risk based on the repeated measures variables. Below is my m…

You will need to make a mapping from patients to rows of data. Assuming you have a column in your dataset like patient_id, you can do patient_idx, patients = pd.factorize(df.patient_id), then give epsilon_a the dimension patient and expand it to the number of rows with epsilon_a[patient_idx]

How to properly index multilevel model with repeated measures data

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jessegrabowski April 18, 2024, 7:20pm 8

No worries, 99.9% of errors are shape errors. Don’t be shy about asking for help when you get stumped!

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How to properly index multilevel model with repeated measures data

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