### 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 = "exponential") Value Std. Error z p (Intercept) 10.85527 0.63897 16.99 < 2e-16 trt 0.16639 0.17941 0.93 0.354 bili -0.11637 0.01322 -8.80 < 2e-16 age -0.00885 0.00929 -0.95 0.340 male -0.48484 0.24202 -2.00 0.045 stage -0.59017 0.12324 -4.79 1.7e-06 Scale fixed at 1 Exponential distribution Loglik(model)= -1156.8 Loglik(intercept only)= -1206.3 Chisq= 98.9 on 5 degrees of freedom, p= 9e-20 Number of Newton-Raphson Iterations: 5 n= 276 ### Mediation analysis est se Z p lower upper exp(est) cde 0.19966740 0.21529505 0.9274128 0.3537122 -0.2223032 0.6216379 1.2209966 pnde 0.19966740 0.21529505 0.9274128 0.3537122 -0.2223032 0.6216379 1.2209966 tnie -0.08479483 0.07691408 -1.1024618 0.2702610 -0.2355437 0.0659540 0.9187008 tnde 0.19966740 0.21529505 0.9274128 0.3537122 -0.2223032 0.6216379 1.2209966 pnie -0.08479483 0.07691408 -1.1024618 0.2702610 -0.2355437 0.0659540 0.9187008 te 0.11487256 0.22758780 0.5047395 0.6137418 -0.3311913 0.5609365 1.1217305 pm -0.81545808 1.91906990 -0.4249236 0.6708924 -4.5767660 2.9458498 NA exp(lower) exp(upper) cde 0.8006726 1.861975 pnde 0.8006726 1.861975 tnie 0.7901412 1.068178 tnde 0.8006726 1.861975 pnie 0.7901412 1.068178 te 0.7180678 1.752313 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 0.19966740 0.21529505 0.9274128 0.3537122 -0.2223032 0.6216379 1.2209966 pnde 0.19966740 0.21529505 0.9274128 0.3537122 -0.2223032 0.6216379 1.2209966 tnie -0.08479483 0.07691408 -1.1024618 0.2702610 -0.2355437 0.0659540 0.9187008 tnde 0.19966740 0.21529505 0.9274128 0.3537122 -0.2223032 0.6216379 1.2209966 pnie -0.08479483 0.07691408 -1.1024618 0.2702610 -0.2355437 0.0659540 0.9187008 te 0.11487256 0.22758780 0.5047395 0.6137418 -0.3311913 0.5609365 1.1217305 pm -0.81545808 1.91906990 -0.4249236 0.6708924 -4.5767660 2.9458498 NA exp(lower) exp(upper) cde 0.8006726 1.861975 pnde 0.8006726 1.861975 tnie 0.7901412 1.068178 tnde 0.8006726 1.861975 pnie 0.7901412 1.068178 te 0.7180678 1.752313 pm NA NA