Mplus Users Guide v6.. - Muthén & Muthén

Examples: Growth Modeling And Survival Analysisu1 u2 u3 u4tfxIn this example, the continuous-time survival analysis model shown inthe picture above is estimated. The model is similar to Larsen (2005)although in this example the analysis uses a parametric baseline hazardfunction (Asparouhov et al., 2006).By specifying ALGORITHM=INTEGRATION, a maximum likelihoodestimator with robust standard errors using a numerical integrationalgorithm will be used. Note that numerical integration becomesincreasingly more computationally demanding as the number of factorsand the sample size increase. In this example, one dimension ofintegration is used with a total of 15 integration points. TheESTIMATOR option of the ANALYSIS command can be used to selecta different estimator.In the MODEL command the BY statement specifies that f is measuredby the binary indicators u1, u2, u3, and u4. The bracket statementspecifies that the 21 baseline hazard parameters are part of the model.The first ON statement describes the loglinear regression of the time-toeventvariable t on the covariate x and the factor f. The second ONstatement describes the linear regression of f on the covariate x. Anexplanation of the other commands can be found in Examples 6.1 and6.22.139