Mplus Users Guide v6.. - Muthén & Muthén

Examples: Growth Modeling And Survival Analysisu1 u2 u3 u4xfThe difference between this example and Example 6.19 is that theresidual variance of f is not fixed at zero but is estimated. The residualrepresents unobserved heterogeneity among individuals in theirpropensity to experience the event which is often referred to as frailty.Maximum likelihood estimation is required for discrete-time survivalmodeling. By specifying ESTIMATOR=MLR, maximum likelihoodestimation with robust standard errors using a numerical integrationalgorithm is used. Note that numerical integration becomes increasinglymore computationally demanding as the number of factors and thesample size increase. In this example, one dimension of integration isused with 15 integration points. An explanation of the other commandscan be found in Examples 6.1 and 6.19.EXAMPLE 6.21: CONTINUOUS-TIME SURVIVAL ANALYSISUSING THE COX REGRESSION MODELTITLE: this is an example of a continuous-timesurvival analysis using the Cox regressionmodelDATA: FILE = ex6.21.dat;VARIABLE: NAMES = t x tc;SURVIVAL = t (ALL);TIMECENSORED = tc (0 = NOT 1 = RIGHT);ANALYSIS: BASEHAZARD = OFF;MODEL: t ON x;xt135