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Statistical analysis of datasets comprising several levels of hierarchy (e.g., students nested in classes nested in schools or hierarchical forecasting). For questions about mixed models use [mixed-model] tag. For nested random effects, use [nested-data].

2 votes
Accepted

Multilevel model - Hessian matrix not positive definitive error, but only for certain covari...

I've done additional research and determined that I do not need to focus on selecting a covariance structure, because an unstructured covariance matrix is highly appropriate for a growth curve model / …
L.S.'s user avatar
  • 351
1 vote
1 answer
2k views

Multilevel model - Hessian matrix not positive definitive error, but only for certain covari...

I am analyzing data using multilevel modeling / growth curve analysis. For my best fit model, using likelihood ratio tests, I have landed on a random quadratic time interaction model (see syntax below …
L.S.'s user avatar
  • 351
2 votes
1 answer
794 views

Is there a model that can handled unbalanced repeated measures data with 1 OR 2 follow ups?

I want to identify predictors of a binary healthcare outcome in a purely observational study, and some of my participants have 1 recorded outcome timepoint, while others have 2 recorded outcome timepo …
L.S.'s user avatar
  • 351