Hello,

Beginner question.

How do you interpret the coefficients of a mixed model (Multilevel mixed-effects linear regression) when the dependent variable (lnConc) has been logtransformed?

What does the coefficient of the dependent variable (-1,8377) and the independent variables say (Dose: 2,087 T: -0,571 Weight: -0,0838) ?

And if you have know of a webpage, where things like this are explained in simple terms I would love to know.

Thank you!

Code:
mixed lnConc bn.Rand Dose T Weight || ID:

Mixed-effects ML regression                     Number of obs     =        411
Group variable: ID                              Number of groups  =        179

                                                Obs per group:
                                                              min =          1
                                                              avg =        2.3
                                                              max =          9

                                                Wald chi2(4)      =       2.51
Log likelihood = -1853.5324                     Prob > chi2       =     0.6424

------------------------------------------------------------------------------
        Conc |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        Rand |
          A  |  -1.837739    2.37127    -0.78   0.438    -6.485341    2.809864
          B  |          0  (omitted)
             |
        Dose |    2.08743    2.15974     0.97   0.334    -2.145583    6.320443
           T |  -.0571639   .2980181    -0.19   0.848    -.6412686    .5269407
      Weight |  -.0838257   .0746945    -1.12   0.262    -.2302242    .0625728
       _cons |   64.30447   6.896226     9.32   0.000     50.78811    77.82082
------------------------------------------------------------------------------

------------------------------------------------------------------------------
  Random-effects Parameters  |   Estimate   Std. Err.     [95% Conf. Interval]
-----------------------------+------------------------------------------------
ID: Identity                 |
                  var(_cons) |   40.22586   27.91004      10.32555    156.7102
-----------------------------+------------------------------------------------
               var(Residual) |   446.8908   39.04148      376.5637    530.3524
------------------------------------------------------------------------------
LR test vs. linear model: chibar2(01) = 2.71          Prob >= chibar2 = 0.0499