### Mediator model

Call:
glm(formula = bili_bin ~ trt + age + male + stage, family = binomial(link = "logit"), 
    data = data)

Coefficients:
            Estimate Std. Error z value Pr(>|z|)    
(Intercept) -1.09095    1.02743  -1.062 0.288315    
trt         -0.22689    0.32051  -0.708 0.479009    
age         -0.02366    0.01586  -1.492 0.135744    
male         1.77461    0.47253   3.756 0.000173 ***
stage        0.66646    0.19644   3.393 0.000692 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 264.30  on 195  degrees of freedom
Residual deviance: 234.79  on 191  degrees of freedom
AIC: 244.79

Number of Fisher Scoring iterations: 4

### Outcome model

Call:
glm(formula = spiders ~ trt + bili_bin + age + male + stage, 
    family = binomial(link = "logit"), data = data)

Coefficients:
             Estimate Std. Error z value Pr(>|z|)    
(Intercept) -3.637453   1.040043  -3.497 0.000470 ***
trt         -0.213652   0.299018  -0.715 0.474910    
bili_bin     1.099999   0.306126   3.593 0.000327 ***
age         -0.006266   0.014950  -0.419 0.675139    
male        -1.629057   0.588212  -2.770 0.005614 ** 
stage        0.917829   0.215159   4.266 1.99e-05 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 332.32  on 275  degrees of freedom
Residual deviance: 278.77  on 270  degrees of freedom
AIC: 290.77

Number of Fisher Scoring iterations: 5

### Mediation analysis 
             est         se          Z         p      lower     upper  exp(est)
cde  -0.25638256 0.35882155 -0.7145127 0.4749102 -0.9596599 0.4468947 0.7738459
pnde -0.25638256 0.35882155 -0.7145127 0.4749102 -0.9596599 0.4468947 0.7738459
tnie -0.05835565 0.08624365 -0.6766370 0.4986363 -0.2273901 0.1106788 0.9433144
tnde -0.25638256 0.35882155 -0.7145127 0.4749102 -0.9596599 0.4468947 0.7738459
pnie -0.05835565 0.08624365 -0.6766370 0.4986363 -0.2273901 0.1106788 0.9433144
te   -0.31473821 0.36891196 -0.8531526 0.3935747 -1.0377924 0.4083159 0.7299800
pm    0.16245429 0.29131883  0.5576512 0.5770826 -0.4085201 0.7334287        NA
     exp(lower) exp(upper)
cde   0.3830231   1.563450
pnde  0.3830231   1.563450
tnie  0.7966100   1.117036
tnde  0.3830231   1.563450
pnie  0.7966100   1.117036
te    0.3542358   1.504282
pm           NA         NA

Evaluated at:
avar: trt
 a1 (intervened value of avar) = 2.3
 a0 (reference value of avar)  = 1.1
mvar: bili_bin
 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)
cde  -0.25638256 0.3588215 -0.7145127 0.4749102 -0.9596599 0.4468947 0.7738459
pnde -0.25638256 0.3588215 -0.7145127 0.4749102 -0.9596599 0.4468947 0.7738459
tnie -0.07260819 0.1042086 -0.6967584 0.4859540 -0.2768532 0.1316368 0.9299651
tnde -0.25638256 0.3588215 -0.7145127 0.4749102 -0.9596599 0.4468947 0.7738459
pnie -0.07260819 0.1042086 -0.6967584 0.4859540 -0.2768532 0.1316368 0.9299651
te   -0.32899076 0.3734523 -0.8809444 0.3783479 -1.0609439 0.4029624 0.7196497
pm    0.19331598 0.3286213  0.5882636 0.5563554 -0.4507700 0.8374020        NA
     exp(lower) exp(upper)
cde   0.3830231   1.563450
pnde  0.3830231   1.563450
tnie  0.7581658   1.140694
tnde  0.3830231   1.563450
pnie  0.7581658   1.140694
te    0.3461290   1.496251
pm           NA         NA