Resources

In the following Y refers to a longitudinal varible and T is time to an event.

Models

• Rizopoulos Course
• Verbeke Tutorial including lack of ability to get marginal inferences when conditioning one outcome distribution on the other outcome; nice layout of competing approaches with pros and cons
• Semiparametric joint model in end-of-life studies
• Bayesian nonparametric approach

Complex Y

• Mixture model for many zeros in Y
• Two-part joint model with bianry Y and excess zeros
• Zero-inflated count data
• Pattern mixture approach
• Multilevel Bayesian model with many zeros

Binary Y

• Tutorial (original post here)
• Joint frailty model for recurrent events and death
• Joint modeling of binary response and survival data

Applications

• Huntington’s Disease

Simulating Data

• simsurv package
• simjoint