### 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:
survival::survreg(formula = Surv(time, status) ~ trt + bili + 
    age + male + stage, data = data, dist = "weibull")
               Value Std. Error      z           p
(Intercept) 10.01568    0.45291  22.11     < 2e-16
trt          0.11389    0.12075   0.94       0.346
bili        -0.09428    0.00938 -10.05     < 2e-16
age         -0.00555    0.00636  -0.87       0.383
male        -0.34467    0.16321  -2.11       0.035
stage       -0.44669    0.08696  -5.14 0.000000280
Log(scale)  -0.39680    0.07259  -5.47 0.000000046

Scale= 0.672 

Weibull distribution
Loglik(model)= -1144.3   Loglik(intercept only)= -1203.8
	Chisq= 118.88 on 5 degrees of freedom, p= 5.4e-24 
Number of Newton-Raphson Iterations: 6 
n= 276 

### Mediation analysis 
             est         se          Z         p      lower     upper  exp(est) exp(lower) exp(upper)
cde   0.13667213 0.14490570  0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522  0.8630024   1.523000
pnde  0.13667213 0.14490570  0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522  0.8630024   1.523000
tnie -0.06870026 0.06220163 -1.1044768 0.2693864 -0.1906132 0.0532127 0.9336065  0.8264522   1.054654
tnde  0.13667213 0.14490570  0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522  0.8630024   1.523000
pnie -0.06870026 0.06220163 -1.1044768 0.2693864 -0.1906132 0.0532127 0.9336065  0.8264522   1.054654
te    0.06797187 0.15704544  0.4328166 0.6651480 -0.2398315 0.3757753 1.0703352  0.7867604   1.456120
pm   -1.08220354 2.95912058 -0.3657180 0.7145755 -6.8819733 4.7175662        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   0.13667213 0.14490570  0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522  0.8630024   1.523000
pnde  0.13667213 0.14490570  0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522  0.8630024   1.523000
tnie -0.06870026 0.06220163 -1.1044768 0.2693864 -0.1906132 0.0532127 0.9336065  0.8264522   1.054654
tnde  0.13667213 0.14490570  0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522  0.8630024   1.523000
pnie -0.06870026 0.06220163 -1.1044768 0.2693864 -0.1906132 0.0532127 0.9336065  0.8264522   1.054654
te    0.06797187 0.15704544  0.4328166 0.6651480 -0.2398315 0.3757753 1.0703352  0.7867604   1.456120
pm   -1.08220354 2.95912058 -0.3657180 0.7145755 -6.8819733 4.7175662        NA         NA         NA
