Topic: The Basic Joint Model

Deriving Conditional Survival From the Hazard

Conditional Independent Censoring in Joint Models

Conditional and Marginal Hazard Interpretations

Conditional Independence Assumptions

Combining Multiple Marker Measurements

Choosing the Time Origin and Risk Set

Canonical Shared Random-Effects Joint Model

Assembling a Joint Likelihood From a Study Dataset

Assumptions About the Observation Schedule

Auditing a Basic Joint-Model Likelihood