Hi everyone, so I'm working on a research project looking at rod material and diameter in spinal fusions and how they affect rod failure. I don't have much stats experience, but normally, with rod failure being a yes/no result, I'd use logistic regression to determine their significance. Talking to a friend today, he was saying he'd use a generalized linear mixed effects model for this data. I've tried to research it and have found a lot on nested variables or multiple measures across time points as well as fixed vs random effects, but I still don't have a great grasp on it. Would the generalized mixed effects model be better? Or should I stick with binary logistic regression? Thanks for any help!