Mplus VERSION 7
MUTHEN & MUTHEN
09/22/2012  10:55 PM

INPUT INSTRUCTIONS

  TITLE:	this is an example of a continuous-time
  	survival analysis using a parametric
      proportional hazard model
  DATA:   FILE = ex6.21.dat;
  VARIABLE:	NAMES = t x tc;
  	SURVIVAL = t(20*1);
  	TIMECENSORED = tc (0 = NOT 1 = RIGHT);
  ANALYSIS:	BASEHAZARD = ON;
  MODEL:	[t#1-t#21];
  	t ON x;



INPUT READING TERMINATED NORMALLY



this is an example of a continuous-time
survival analysis using a parametric
proportional hazard model

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         500

Number of dependent variables                                    1
Number of independent variables                                  1
Number of continuous latent variables                            0

Observed dependent variables

  Time-to-event (survival)
   T

Observed independent variables
   X

Variables with special functions

  Time-censoring variables
   TC


Estimator                                                      MLR
Information matrix                                        OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
  Maximum number of iterations                                 100
  Convergence criterion                                  0.100D-05
Optimization Specifications for the EM Algorithm
  Maximum number of iterations                                 500
  Convergence criteria
    Loglikelihood change                                 0.100D-02
    Relative loglikelihood change                        0.100D-05
    Derivative                                           0.100D-02
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent variables
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-02
  Basis for M step termination                           ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-02
  Basis for M step termination                           ITERATION
  Maximum value for logit thresholds                            15
  Minimum value for logit thresholds                           -15
  Minimum expected cell size for chi-square              0.100D-01
Optimization algorithm                                         EMA
Integration Specifications
  Type                                                    STANDARD
  Number of integration points                                  15
  Dimensions of numerical integration                            0
  Adaptive quadrature                                           ON
Base Hazard                                                     ON
Cholesky                                                       OFF

Input data file(s)
  ex6.21.dat
Input data format  FREE



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       22

Loglikelihood

          H0 Value                       -1037.276
          H0 Scaling Correction Factor      0.9972
            for MLR

Information Criteria

          Akaike (AIC)                    2118.552
          Bayesian (BIC)                  2211.273
          Sample-Size Adjusted BIC        2141.444
            (n* = (n + 2) / 24)



MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 T          ON
    X                  0.090      0.063      1.435      0.151

Base Hazard Parameters
    T#1                0.046      0.010      4.704      0.000
    T#2                0.045      0.010      4.479      0.000
    T#3                0.058      0.012      4.791      0.000
    T#4                0.042      0.011      3.881      0.000
    T#5                0.037      0.011      3.453      0.001
    T#6                0.062      0.015      4.219      0.000
    T#7                0.061      0.015      4.008      0.000
    T#8                0.060      0.016      3.767      0.000
    T#9                0.061      0.017      3.616      0.000
    T#10               0.047      0.016      2.979      0.003
    T#11               0.069      0.020      3.426      0.001
    T#12               0.063      0.020      3.159      0.002
    T#13               0.056      0.020      2.822      0.005
    T#14               0.061      0.021      2.851      0.004
    T#15               0.060      0.023      2.640      0.008
    T#16               0.039      0.020      1.996      0.046
    T#17               0.044      0.022      2.026      0.043
    T#18               0.063      0.028      2.232      0.026
    T#19               0.055      0.027      2.006      0.045
    T#20               0.091      0.037      2.478      0.013
    T#21               0.044      0.007      5.882      0.000

QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.145E-01
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  22:55:58
        Ending Time:  22:55:58
       Elapsed Time:  00:00:00



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