Joint Latent Growth Survival Model

[maupind]

Hi all,

Apologies if this is the wrong topic group, but I am looking at conducting a joint model combining a parallel latent growth model (see paper here for additional information: Longitudinal Relationship of Leisure Activity Engagement With Cognitive Performance Among Non-Demented, Community-Dwelling Older Adults | The Gerontologist | Oxford Academic) and survival analysis. A similar joint model was conducted in this paper though I don’t believe they used a parallel latent growth model (Shibboleth Authentication Request).

I was wondering the package brms would be able to accomplish something similar to this? If not does anyone know any R (or Python/Julia) package that would be able to accomplish an analysis like this?

[erognli]

I’ve worked on a similar problem - without success so far, I might add. Currently, I’m stuck on some programming error, and haven’t had time to work further on it. Having a look at the code might still be useful.

Non-exchangeable mixture model. Problem with underflow?

Dear Stan community - I’m hoping for some competent eyes on a modeling problem that I haven’t been able to figure out. First some context for the modeling problem and the data: Therapist-assisted internet-based cognitive behavioral therapy is increasingly being used to provide treatment for a number of mental disorders. However, dropout from treatment is quite high. Identifying patients at risk of dropout would allow treatment providers to target these patients with extra intervention to increa…

Mixtures are hard, and you probably will have to be able to make assumptions about the number and nature of the classes to succeed. I don’t think you can do this in brms, though.