### Mediator model

Call:
lm(formula = bili ~ trt + age + male + stage, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-4.1854 -2.5979 -1.2638  0.5727 24.2813 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) -2.54577    1.76354  -1.444 0.150018    
trt          0.60723    0.54646   1.111 0.267464    
age          0.02419    0.02706   0.894 0.372025    
male        -0.61583    0.84467  -0.729 0.466584    
stage        1.26164    0.32279   3.909 0.000117 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 4.472 on 271 degrees of freedom
Multiple R-squared:  0.06893,	Adjusted R-squared:  0.05518 
F-statistic: 5.016 on 4 and 271 DF,  p-value: 0.0006483

### Outcome model

Call:
glm(formula = spiders ~ trt + bili + age + male + stage, family = poisson(link = "log"), 
    data = data)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-1.3171  -0.6942  -0.5049   0.4505   1.7380  

Coefficients:
             Estimate Std. Error z value    Pr(>|z|)    
(Intercept) -2.838721   0.697105  -4.072 0.000046579 ***
trt         -0.175892   0.174406  -1.009    0.313206    
bili         0.041911   0.011385   3.681    0.000232 ***
age         -0.008272   0.009338  -0.886    0.375666    
male        -0.933968   0.455488  -2.050    0.040318 *  
stage        0.666773   0.130526   5.108 0.000000325 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for poisson family taken to be 1)

    Null deviance: 198.14  on 275  degrees of freedom
Residual deviance: 165.34  on 270  degrees of freedom
AIC: 337.34

Number of Fisher Scoring iterations: 5

### Mediation analysis 
             est         se          Z         p       lower      upper  exp(est) exp(lower) exp(upper)
cde  -0.21107037 0.20928755 -1.0085185 0.3132056 -0.62126644 0.19912569 0.8097171  0.5372636   1.220335
pnde -0.21107037 0.20928755 -1.0085185 0.3132056 -0.62126644 0.19912569 0.8097171  0.5372636   1.220335
tnie  0.03053953 0.02870801  1.0637984 0.2874200 -0.02572713 0.08680619 1.0310106  0.9746010   1.090685
tnde -0.21107037 0.20928755 -1.0085185 0.3132056 -0.62126644 0.19912569 0.8097171  0.5372636   1.220335
pnie  0.03053953 0.02870801  1.0637984 0.2874200 -0.02572713 0.08680619 1.0310106  0.9746010   1.090685
te   -0.18053084 0.20982975 -0.8603682 0.3895861 -0.59178960 0.23072791 0.8348269  0.5533361   1.259516
pm   -0.15202145 0.24868845 -0.6112928 0.5410058 -0.63944186 0.33539895        NA         NA         NA

Evaluated at:
avar: trt
 a1 (intervened value of avar) = 2.3
 a0 (reference value of avar)  = 1.1
mvar: bili
 m_cde (intervend value of mvar for cde) = 1.4
cvar: age male stage
 c_cond (covariate vector value) = 50 1 2

Note that effect estimates do not vary over m_cde and c_cond values when interaction = FALSE.

### Re-evaluation at c_cond = cmean
             est         se          Z         p       lower      upper  exp(est) exp(lower) exp(upper)
cde  -0.21107037 0.20928755 -1.0085185 0.3132056 -0.62126644 0.19912569 0.8097171  0.5372636   1.220335
pnde -0.21107037 0.20928755 -1.0085185 0.3132056 -0.62126644 0.19912569 0.8097171  0.5372636   1.220335
tnie  0.03053953 0.02870801  1.0637984 0.2874200 -0.02572713 0.08680619 1.0310106  0.9746010   1.090685
tnde -0.21107037 0.20928755 -1.0085185 0.3132056 -0.62126644 0.19912569 0.8097171  0.5372636   1.220335
pnie  0.03053953 0.02870801  1.0637984 0.2874200 -0.02572713 0.08680619 1.0310106  0.9746010   1.090685
te   -0.18053084 0.20982975 -0.8603682 0.3895861 -0.59178960 0.23072791 0.8348269  0.5533361   1.259516
pm   -0.15202145 0.24868845 -0.6112928 0.5410058 -0.63944186 0.33539895        NA         NA         NA
