### Mediator model

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

Coefficients:
            Estimate Std. Error z value Pr(>|z|)
(Intercept)  0.08577    0.38245   0.224    0.823
trt         -0.08577    0.24091  -0.356    0.722

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 382.49  on 275  degrees of freedom
Residual deviance: 382.36  on 274  degrees of freedom
AIC: 386.36

Number of Fisher Scoring iterations: 3

### Outcome model
Call:
survival::coxph(formula = Surv(time, status) ~ trt + bili_bin + 
    trt:bili_bin, data = data, ties = "efron")

  n= 276, number of events= 129 

                 coef exp(coef) se(coef)      z Pr(>|z|)   
trt          -0.01845   0.98172  0.34854 -0.053  0.95778   
bili_bin      1.91136   6.76227  0.64717  2.953  0.00314 **
trt:bili_bin -0.12718   0.88058  0.40579 -0.313  0.75397   
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

             exp(coef) exp(-coef) lower .95 upper .95
trt             0.9817     1.0186    0.4958     1.944
bili_bin        6.7623     0.1479    1.9020    24.042
trt:bili_bin    0.8806     1.1356    0.3975     1.951

Concordance= 0.708  (se = 0.02 )
Likelihood ratio test= 83.63  on 3 df,   p=<2e-16
Wald test            = 70.71  on 3 df,   p=3e-15
Score (logrank) test = 87.74  on 3 df,   p=<2e-16

### Mediation analysis 
             est         se          Z         p      lower     upper  exp(est)
cde  -0.23579589 0.38610609 -0.6107023 0.5413967 -0.9925499 0.5209581 0.7899419
pnde -0.15089613 0.21885802 -0.6894704 0.4905273 -0.5798500 0.2780577 0.8599370
tnie -0.03511055 0.09927044 -0.3536859 0.7235743 -0.2296770 0.1594559 0.9654987
tnde -0.14875132 0.21742763 -0.6841417 0.4938857 -0.5749016 0.2773990 0.8617834
pnie -0.03725536 0.10526522 -0.3539190 0.7233996 -0.2435714 0.1690607 0.9634301
te   -0.18600668 0.24016080 -0.7745089 0.4386299 -0.6567132 0.2846998 0.8302681
pm    0.17479895 0.46009778  0.3799170 0.7040071 -0.7269761 1.0765740        NA
     exp(lower) exp(upper)
cde   0.3706304   1.683640
pnde  0.5599824   1.320562
tnie  0.7947903   1.172873
tnde  0.5627602   1.319693
pnie  0.7838235   1.184192
te    0.5185529   1.329363
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: 
 c_cond (covariate vector value) = 

Note that effect estimates can vary over m_cde and c_cond values when interaction = TRUE.