. sem (cumdose1 -> BSIanx) (BSIanx -> Vodkaw1) (BSIanx -> MiPTSD) if gender==2, nocapslatent

Endogenous variables


Observed:  BSIanx Vodkaw1 MiPTSD


Exogenous variables


Observed:  cumdose1


Fitting target model:

Iteration 0:   log likelihood = -3123.6701
Iteration 1:   log likelihood = -3123.6701

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3123.6701

-------------+----------------------------------------------------------------
             |                 OIM
             |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
 Structural   |
   BSIanx <-  |
    cumdose1 |    1.528414    .3399598      4.50    0.000      .8621048     2.194723
       _cons |    8.465151    .2186051     38.72    0.000      8.036693     8.893609
  -----------+----------------------------------------------------------------
   Vodkaw1 <- |
      BSIanx |    .0830263     .013982      5.94    0.000      .0556221     .1104306
       _cons |   -.4120737     .135511     -3.04    0.002     -.6776704     -.146477
  -----------+----------------------------------------------------------------
   MiPTSD <-  |
      BSIanx |     1.88629     .141962     13.29    0.000       1.60805     2.164531
       _cons |    32.63245    1.375869     23.72    0.000       29.9358      35.3291
-------------+----------------------------------------------------------------
 Variance     |
    e.BSIanx |    12.62438    .9370693                     10.9151     14.60132
   e.Vodkaw1 |     .945779    .0702023                    .8177255     1.093885
    e.MiPTSD |    97.49774    7.236961                    84.29706     112.7656
-------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(3)   =      6.48, Prob > chi2 = 0.0905
.
. sem (Vodkaw1 -> MiPTSD) (Vodkaw1 -> cumdose1) (Vodkaw1 -> BSIanx) (cumdose1 -> BSIanx) (BSIanx -> Vodkaw1) (BSIanx -> MiPTSD) if gender==2, nocapslatent

Endogenous variables


Observed:  Vodkaw1 MiPTSD cumdose1 BSIanx


Fitting target model:

Iteration 0:   log likelihood =  -3222.266  (not concave)
Iteration 1:   log likelihood =  -3178.994  (not concave)
Iteration 2:   log likelihood = -3154.5199
Iteration 3:   log likelihood = -3124.7274
Iteration 4:   log likelihood = -3121.5305  (not concave)
Iteration 5:   log likelihood = -3121.5073
Iteration 6:   log likelihood =  -3121.483
Iteration 7:   log likelihood =  -3121.483

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    =  -3121.483

--------------+----------------------------------------------------------------
              |                 OIM
              |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
--------------+----------------------------------------------------------------
 Structural    |
   Vodkaw1 <-  |
       BSIanx |    .0019746    92.17101      0.00    1.000     -180.6499     180.6538
        _cons |    .3156058    827.5078      0.00    1.000      -1621.57     1622.201
  ------------+----------------------------------------------------------------
   MiPTSD <-   |
      Vodkaw1 |     .715586     .531579      1.35    0.178     -.3262897     1.757462
       BSIanx |    1.826878    .1483274     12.32    0.000      1.536161     2.117594
        _cons |    32.92733    1.389818     23.69    0.000      30.20333     35.65132
  ------------+----------------------------------------------------------------
   cumdose1 <- |
      Vodkaw1 |    .0780921    33.24831      0.00    0.998      -65.0874     65.24359
        _cons |    .3094872    11.08281      0.03    0.978     -21.41242     22.03139
  ------------+----------------------------------------------------------------
   BSIanx <-   |
      Vodkaw1 |    .9443581    1041.892      0.00    0.999     -2041.126     2043.015
     cumdose1 |    1.265804    5.227394      0.24    0.809     -8.979701     11.51131
        _cons |    8.238476     345.547      0.02    0.981     -669.0212     685.4982
--------------+----------------------------------------------------------------
 Variance      |
    e.Vodkaw1 |    1.033331     199.127                    9.6e-165     1.1e+164
     e.MiPTSD |    97.01344    7.201013                    83.87833     112.2055
   e.cumdose1 |     .294475    .0536938                    .2059882     .4209731
     e.BSIanx |    11.67611     48.1302                    .0036187     37674.21
--------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(0)   =      2.10, Prob > chi2 =      .
.
. sem (Vodkaw1 -> MiPTSD) (Vodkaw1 -> cumdose1) (cumdose1 -> BSIanx) (BSIanx -> Vodkaw1) (BSIanx -> MiPTSD) if gender==2, nocapslatent

Endogenous variables


Observed:  Vodkaw1 MiPTSD cumdose1 BSIanx


Fitting target model:

Iteration 0:   log likelihood =  -3222.266
Iteration 1:   log likelihood = -3149.7791
Iteration 2:   log likelihood = -3123.5783
Iteration 3:   log likelihood = -3121.4987
Iteration 4:   log likelihood =  -3121.483
Iteration 5:   log likelihood =  -3121.483

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    =  -3121.483

--------------+----------------------------------------------------------------
              |                 OIM
              |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
--------------+----------------------------------------------------------------
 Structural    |
   Vodkaw1 <-  |
       BSIanx |    .0783258    .0142733      5.49    0.000      .0503506      .106301
        _cons |   -.3698726    .1379403     -2.68    0.007     -.6402306    -.0995147
  ------------+----------------------------------------------------------------
   MiPTSD <-   |
      Vodkaw1 |     .715586     .531579      1.35    0.178     -.3262896     1.757462
       BSIanx |    1.826878    .1483274     12.32    0.000      1.536161     2.117594
        _cons |    32.92733    1.389818     23.69    0.000      30.20333     35.65132
  ------------+----------------------------------------------------------------
   cumdose1 <- |
      Vodkaw1 |    .0481036    .0296644      1.62    0.105     -.0100375     .1062448
        _cons |    .3194834    .0301943     10.58    0.000      .2603037      .378663
  ------------+----------------------------------------------------------------
   BSIanx <-   |
     cumdose1 |     1.36943    .3538941      3.87    0.000      .6758103      2.06305
        _cons |    8.518493    .2211278     38.52    0.000      8.085091     8.951896
--------------+----------------------------------------------------------------
 Variance      |
    e.Vodkaw1 |    .9460734    .0702469                    .8179415     1.094277
     e.MiPTSD |    97.01342    7.201011                    83.87832     112.2054
   e.cumdose1 |    .2954524    .0220118                     .255312     .3419037
     e.BSIanx |    12.63198    .9382451                    10.92065      14.6115
--------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      2.10, Prob > chi2 = 0.1469
.
. sem (Vodkaw1 -> cumdose1) (cumdose1 -> BSIanx) (BSIanx -> Vodkaw1) (BSIanx -> MiPTSD) if gender==2, nocapslatent

Endogenous variables


Observed:  Vodkaw1 cumdose1 BSIanx MiPTSD


Fitting target model:

Iteration 0:   log likelihood =  -3222.266
Iteration 1:   log likelihood = -3150.0595
Iteration 2:   log likelihood = -3124.2519
Iteration 3:   log likelihood = -3122.3976
Iteration 4:   log likelihood = -3122.3868
Iteration 5:   log likelihood = -3122.3868

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3122.3868

--------------+----------------------------------------------------------------
              |                 OIM
              |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
--------------+----------------------------------------------------------------
 Structural    |
   Vodkaw1 <-  |
       BSIanx |    .0783258    .0142733      5.49    0.000      .0503506      .106301
        _cons |   -.3698726    .1379403     -2.68    0.007     -.6402306    -.0995147
  ------------+----------------------------------------------------------------
   cumdose1 <- |
      Vodkaw1 |    .0481036    .0296644      1.62    0.105     -.0100375     .1062448
        _cons |    .3194834    .0301943     10.58    0.000      .2603037      .378663
  ------------+----------------------------------------------------------------
   BSIanx <-   |
     cumdose1 |     1.36943    .3538941      3.87    0.000      .6758103      2.06305
        _cons |    8.518493    .2211278     38.52    0.000      8.085091     8.951896
  ------------+----------------------------------------------------------------
   MiPTSD <-   |
       BSIanx |     1.88629     .141962     13.29    0.000       1.60805     2.164531
        _cons |    32.63245    1.375869     23.72    0.000       29.9358      35.3291
--------------+----------------------------------------------------------------
 Variance      |
    e.Vodkaw1 |    .9460734    .0702469                    .8179415     1.094277
   e.cumdose1 |    .2954524    .0220118                     .255312     .3419037
     e.BSIanx |    12.63198    .9382451                    10.92065      14.6115
     e.MiPTSD |    97.49773     7.23696                    84.29706     112.7656
--------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(2)   =      3.91, Prob > chi2 = 0.1414
.
. sem (cumdose1 -> BSIanx) (BSIanx -> Vodkaw1) (BSIanx -> MiPTSD) if gender==2, nocapslatent

Endogenous variables


Observed:  BSIanx Vodkaw1 MiPTSD


Exogenous variables


Observed:  cumdose1


Fitting target model:

Iteration 0:   log likelihood = -3123.6701
Iteration 1:   log likelihood = -3123.6701

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3123.6701

-------------+----------------------------------------------------------------
             |                 OIM
             |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
 Structural   |
   BSIanx <-  |
    cumdose1 |    1.528414    .3399598      4.50    0.000      .8621048     2.194723
       _cons |    8.465151    .2186051     38.72    0.000      8.036693     8.893609
  -----------+----------------------------------------------------------------
   Vodkaw1 <- |
      BSIanx |    .0830263     .013982      5.94    0.000      .0556221     .1104306
       _cons |   -.4120737     .135511     -3.04    0.002     -.6776704     -.146477
  -----------+----------------------------------------------------------------
   MiPTSD <-  |
      BSIanx |     1.88629     .141962     13.29    0.000       1.60805     2.164531
       _cons |    32.63245    1.375869     23.72    0.000       29.9358      35.3291
-------------+----------------------------------------------------------------
 Variance     |
    e.BSIanx |    12.62438    .9370693                     10.9151     14.60132
   e.Vodkaw1 |     .945779    .0702023                    .8177255     1.093885
    e.MiPTSD |    97.49774    7.236961                    84.29706     112.7656
-------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(3)   =      6.48, Prob > chi2 = 0.0905
.