ABSTRACT
The term life history data refers to information about events and other outcomes during people's lifetimes, and life history analysis to the analysis of such data. It can be seen a strong connection between the approaches to modeling and inference for survival analysis and those for multistate and more general life history analyses. Multistate modeling and analysis is also frequently applied to observational data from sources such as disease registries and administrative databases. Models are also used to represent progression in the severity of damage for individual joints. Multistate models are also used for other aspects of HIV disease; we can base states on a combination of biomarker measurements and clinical events in order to study the association between the biomarkers and the events. Competing risks is the term used to describe situations in which an individual may die or fail from different causes, or simply have different modes of failure.
