### Mediator model

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

Residuals:
   Min     1Q Median     3Q    Max 
-2.963 -1.808 -1.136  0.187 25.096 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)  
(Intercept) -0.736248   1.705548  -0.432   0.6665  
trt          0.568502   0.537608   1.057   0.2916  
age          0.006127   0.026304   0.233   0.8161  
male         0.337307   0.753642   0.448   0.6550  
stage        0.727713   0.312232   2.331   0.0208 *
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 3.704 on 191 degrees of freedom
Multiple R-squared:  0.04002,	Adjusted R-squared:  0.01992 
F-statistic: 1.991 on 4 and 191 DF,  p-value: 0.09755

### Outcome model

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

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-1.3561  -0.6964  -0.5068   0.4453   1.7418  

Coefficients:
             Estimate Std. Error z value    Pr(>|z|)    
(Intercept) -2.872069   0.714776  -4.018 0.000058660 ***
trt         -0.140866   0.236246  -0.596      0.5510    
bili         0.053733   0.042179   1.274      0.2027    
age         -0.008401   0.009348  -0.899      0.3688    
male        -0.930092   0.455616  -2.041      0.0412 *  
stage        0.661619   0.133304   4.963 0.000000693 ***
trt:bili    -0.007025   0.023813  -0.295      0.7680    
---
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: 165.31  on 269  degrees of freedom
AIC: 339.31

Number of Fisher Scoring iterations: 5

### Mediation analysis 
             est         se          Z         p       lower      upper  exp(est) exp(lower) exp(upper)
cde  -0.18084137 0.25681081 -0.7041813 0.4813199 -0.68418132 0.32249857 0.8345677  0.5045031   1.380573
pnde -0.19063218 0.23779668 -0.8016604 0.4227494 -0.65670511 0.27544075 0.8264365  0.5185571   1.317111
tnie  0.02563398 0.02722410  0.9415915 0.3464018 -0.02772427 0.07899223 1.0259654  0.9726565   1.082196
tnde -0.19638326 0.22801791 -0.8612624 0.3890935 -0.64329015 0.25052363 0.8216972  0.5255604   1.284698
pnie  0.03138507 0.03221706  0.9741752 0.3299695 -0.03175922 0.09452935 1.0318828  0.9687398   1.099141
te   -0.16499820 0.23315840 -0.7076657 0.4791529 -0.62198026 0.29198387 0.8478952  0.5368802   1.339081
pm   -0.14107853 0.24773615 -0.5694709 0.5690366 -0.62663247 0.34447540        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 can vary over m_cde and c_cond values when interaction = TRUE.

### Re-evaluation at c_cond = cmean
             est         se          Z         p       lower      upper  exp(est) exp(lower) exp(upper)
cde  -0.18084137 0.25681081 -0.7041813 0.4813199 -0.68418132 0.32249857 0.8345677  0.5045031   1.380573
pnde -0.19450782 0.23097717 -0.8421084 0.3997273 -0.64721476 0.25819912 0.8232397  0.5235018   1.294597
tnie  0.02563398 0.02722410  0.9415915 0.3464018 -0.02772427 0.07899223 1.0259654  0.9726565   1.082196
tnde -0.20025891 0.22203622 -0.9019200 0.3670994 -0.63544189 0.23492408 0.8185188  0.5297014   1.264813
pnie  0.03138507 0.03221706  0.9741752 0.3299695 -0.03175922 0.09452935 1.0318828  0.9687398   1.099141
te   -0.16887384 0.22683259 -0.7444867 0.4565821 -0.61345756 0.27570987 0.8446155  0.5414754   1.317466
pm   -0.13756653 0.23602882 -0.5828378 0.5600025 -0.60017451 0.32504146        NA         NA         NA
