Continuous - Time Survival Analysis in Mplus
نویسنده
چکیده
Here we will describe the basic continuous time survival model implemented in Mplus and will provide some details on the basic modeling options that are available. Introduction to continuous time survival modeling can be found in Singer & Willett (2003), Hougaard (2000) or Klein & Moeschberger (1997). Survival analysis: techniques for. The survival models implemented in Mplus includes many extensions of this basic model such as mixture survival models, survival models with random effects (frailty models), multilevel survival models, time varying covariate models, competing risk models, non-proportional hazard models etc. Describing the details of these models is beyond the scope of this document. In most cases however the material presented here applies to these extensions as well. More details on the models and algorithms implemented in Mplus can be found in Larsen (2004, 2005) and Asparouhov, Masyn & Muthén (2006). Let the variable T0 be a time-to-event variable such as time to death for example. Let C be the time when the individual leaves the target cohort due to death or other types of censoring such as lost to follow up etc. The survival variable T and the censoring indicator δ are defined by
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