Generalized linear mixed-effects model fit by PL

Model information:
    Number of observations              10
    Fixed effects coefficients           4
    Random effects coefficients          0
    Covariance parameters                1
    Distribution                    Normal
    Link                            Identity
    FitMethod                       MPL   

Formula:
    WB ~ 1 + Drug*Sex

Model fit statistics:
    AIC      BIC      LogLikelihood    Deviance
    15.96    17.48    -2.98            5.96    
Fixed effects coefficients (95% CIs):
    Name                      Estimate    SE      tStat    DF      pValue    Lower    Upper
    {'(Intercept)'   }         1.15       0.23     4.97    6.00    0.00       0.58    1.71 
    {'Drug_itu'      }         0.57       0.33     1.76    6.00    0.13      -0.23    1.37 
    {'Sex_m'         }        -0.24       0.30    -0.81    6.00    0.45      -0.97    0.49 
    {'Drug_itu:Sex_m'}        -0.04       0.42    -0.10    6.00    0.92      -1.07    0.99 
Random effects covariance parameters:
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.33