### 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) -1.53024 0.85116 -1.798 0.07220 . trt -0.17117 0.25982 -0.659 0.51003 age -0.01386 0.01299 -1.067 0.28610 male 1.33046 0.43911 3.030 0.00245 ** stage 0.74640 0.16356 4.563 5.03e-06 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 382.49 on 275 degrees of freedom Residual deviance: 349.60 on 271 degrees of freedom AIC: 359.6 Number of Fisher Scoring iterations: 4 ### Outcome model Call: survival::survreg(formula = Surv(time, status) ~ trt + bili_bin + age + male + stage, data = data, dist = "weibull") Value Std. Error z p (Intercept) 10.577076 0.476246 22.21 < 2e-16 trt 0.108623 0.128565 0.84 0.398 bili_bin -1.097700 0.159144 -6.90 5.3e-12 age -0.013558 0.006467 -2.10 0.036 male 0.000915 0.172044 0.01 0.996 stage -0.408418 0.093846 -4.35 1.3e-05 Log(scale) -0.340606 0.071754 -4.75 2.1e-06 Scale= 0.711 Weibull distribution Loglik(model)= -1145.8 Loglik(intercept only)= -1203.8 Chisq= 115.89 on 5 degrees of freedom, p= 2.3e-23 Number of Newton-Raphson Iterations: 6 n= 276 ### Mediation analysis est se Z p lower upper exp(est) cde 0.13034747 0.15427801 0.8448869 0.3981740 -0.1720319 0.4327268 1.139224 pnde 0.13034747 0.15427801 0.8448869 0.3981740 -0.1720319 0.4327268 1.139224 tnie 0.05422319 0.08206429 0.6607404 0.5087788 -0.1066199 0.2150662 1.055720 tnde 0.13034747 0.15427801 0.8448869 0.3981740 -0.1720319 0.4327268 1.139224 pnie 0.05422319 0.08206429 0.6607404 0.5087788 -0.1066199 0.2150662 1.055720 te 0.18457066 0.17449117 1.0577651 0.2901626 -0.1574257 0.5265671 1.202702 pm 0.31315831 0.41135947 0.7612765 0.4464919 -0.4930914 1.1194080 NA exp(lower) exp(upper) cde 0.8419523 1.541455 pnde 0.8419523 1.541455 tnie 0.8988673 1.239944 tnde 0.8419523 1.541455 pnie 0.8988673 1.239944 te 0.8543403 1.693110 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 0.13034747 0.15427801 0.8448869 0.3981740 -0.17203187 0.4327268 1.139224 pnde 0.13034747 0.15427801 0.8448869 0.3981740 -0.17203187 0.4327268 1.139224 tnie 0.05021844 0.07568389 0.6635288 0.5069920 -0.09811926 0.1985561 1.051501 tnde 0.13034747 0.15427801 0.8448869 0.3981740 -0.17203187 0.4327268 1.139224 pnie 0.05021844 0.07568389 0.6635288 0.5069920 -0.09811926 0.1985561 1.051501 te 0.18056591 0.17162465 1.0520977 0.2927547 -0.15581223 0.5169440 1.197895 pm 0.29647484 0.39721335 0.7463869 0.4554337 -0.48204903 1.0749987 NA exp(lower) exp(upper) cde 0.8419523 1.541455 pnde 0.8419523 1.541455 tnie 0.9065408 1.219640 tnde 0.8419523 1.541455 pnie 0.9065408 1.219640 te 0.8557199 1.676895 pm NA NA