Power Analysis – the plan is to continue in the literature search to find tools that can help. So far, very little is out there to help.
A few things to note: Cross-classified models what I’ve found so far use simulations to estimate power. That’s not a great sign. And the more I delve into GEE (which isn’t all that deep, but still), the more I realize it requires having some idea of the covariance structure- which is problematic since we have no idea what each network will actually look like. We could make some assumptions if we were in an ERGM framework (like Markov dependence possibly), but it seems pretty complicated.
The plan for today is to continue reading about the biostats literature, but I’m not optimisitic. Another plan is to scrap the power analysis stuff altogether – try to publish what results we do have, do a more formal simulation study, and call it a day.
Other things I can work on is a continuous tie version of the HLSM. That might be fun to think about – and use Peter Hoff’s work as a spring board. OR, I can think about something else entirely.
Does this mean, I shouldn’t continue doing research when I’m in a funk right now? Should I be thinking about teaching positions instead? I don’t know.