### 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:
glm(formula = platelet ~ trt + bili_bin, family = poisson(link = "log"), 
    data = data)

Coefficients:
             Estimate Std. Error z value Pr(>|z|)    
(Intercept)  5.591215   0.012418 450.238  < 2e-16 ***
trt          0.025177   0.007445   3.382 0.000721 ***
bili_bin    -0.130677   0.007471 -17.492  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for poisson family taken to be 1)

    Null deviance: 9286.7  on 275  degrees of freedom
Residual deviance: 8965.6  on 273  degrees of freedom
AIC: 10996

Number of Fisher Scoring iterations: 4

### Mediation analysis 
             est          se         Z            p        lower      upper
cde  0.030212981 0.008934492 3.3816115 0.0007206199  0.012701698 0.04772426
pnde 0.030212981 0.008934492 3.3816115 0.0007206199  0.012701698 0.04772426
tnie 0.003347236 0.009390014 0.3564676 0.7214904455 -0.015056855 0.02175133
tnde 0.030212981 0.008934492 3.3816115 0.0007206199  0.012701698 0.04772426
pnie 0.003347236 0.009390014 0.3564676 0.7214904455 -0.015056855 0.02175133
te   0.033560216 0.012958583 2.5898061 0.0096030007  0.008161861 0.05895857
pm   0.101251626 0.257090915 0.3938359 0.6937022136 -0.402637307 0.60514056
     exp(est) exp(lower) exp(upper)
cde  1.030674  1.0127827   1.048881
pnde 1.030674  1.0127827   1.048881
tnie 1.003353  0.9850559   1.021990
tnde 1.030674  1.0127827   1.048881
pnie 1.003353  0.9850559   1.021990
te   1.034130  1.0081953   1.060731
pm         NA         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 do not vary over m_cde and c_cond values when interaction = FALSE.