### 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 2.8e-07 Log(scale) -0.39680 0.07259 -5.47 4.6e-08 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) cde 0.13667213 0.14490570 0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522 pnde 0.13667213 0.14490570 0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522 tnie -0.06870026 0.06220163 -1.1044768 0.2693864 -0.1906132 0.0532127 0.9336065 tnde 0.13667213 0.14490570 0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522 pnie -0.06870026 0.06220163 -1.1044768 0.2693864 -0.1906132 0.0532127 0.9336065 te 0.06797187 0.15704544 0.4328166 0.6651480 -0.2398315 0.3757753 1.0703352 pm -1.08220354 2.95912058 -0.3657180 0.7145755 -6.8819733 4.7175662 NA exp(lower) exp(upper) cde 0.8630024 1.523000 pnde 0.8630024 1.523000 tnie 0.8264522 1.054654 tnde 0.8630024 1.523000 pnie 0.8264522 1.054654 te 0.7867604 1.456120 pm 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) cde 0.13667213 0.14490570 0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522 pnde 0.13667213 0.14490570 0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522 tnie -0.06870026 0.06220163 -1.1044768 0.2693864 -0.1906132 0.0532127 0.9336065 tnde 0.13667213 0.14490570 0.9431798 0.3455889 -0.1473378 0.4206821 1.1464522 pnie -0.06870026 0.06220163 -1.1044768 0.2693864 -0.1906132 0.0532127 0.9336065 te 0.06797187 0.15704544 0.4328166 0.6651480 -0.2398315 0.3757753 1.0703352 pm -1.08220354 2.95912058 -0.3657180 0.7145755 -6.8819733 4.7175662 NA exp(lower) exp(upper) cde 0.8630024 1.523000 pnde 0.8630024 1.523000 tnie 0.8264522 1.054654 tnde 0.8630024 1.523000 pnie 0.8264522 1.054654 te 0.7867604 1.456120 pm NA NA