### 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 + trt:bili + age + male + stage, data = data, dist = "exponential") Value Std. Error z p (Intercept) 10.85310 0.65341 16.61 < 2e-16 trt 0.16870 0.23098 0.73 0.465 bili -0.11558 0.05129 -2.25 0.024 age -0.00885 0.00929 -0.95 0.340 male -0.48473 0.24212 -2.00 0.045 stage -0.59061 0.12635 -4.67 2.9e-06 trt:bili -0.00046 0.02904 -0.02 0.987 Scale fixed at 1 Exponential distribution Loglik(model)= -1156.8 Loglik(intercept only)= -1206.3 Chisq= 98.9 on 6 degrees of freedom, p= 4.3e-19 Number of Newton-Raphson Iterations: 5 n= 276 ### Mediation analysis est se Z p lower upper cde 0.20166160 0.24935165 0.8087438 0.4186625 -0.2870587 0.69038186 pnde 0.20303585 0.30250303 0.6711862 0.5021019 -0.3898592 0.79593089 tnie -0.08499397 0.07810734 -1.0881688 0.2765206 -0.2380815 0.06809361 tnde 0.20263339 0.28524234 0.7103903 0.4774621 -0.3564313 0.76169811 pnie -0.08459151 0.07779868 -1.0873130 0.2768985 -0.2370741 0.06789110 te 0.11804188 0.30295462 0.3896355 0.6968061 -0.4757383 0.71182203 pm -0.79674486 2.16591355 -0.3678563 0.7129804 -5.0418574 3.44836769 exp(est) exp(lower) exp(upper) cde 1.2234339 0.7504677 1.994477 pnde 1.2251164 0.6771522 2.216503 tnie 0.9185178 0.7881384 1.070466 tnde 1.2246234 0.7001706 2.141910 pnie 0.9188876 0.7889328 1.070249 te 1.1252912 0.6214261 2.037701 pm 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 can vary over m_cde and c_cond values when interaction = TRUE. ### Re-evaluation at c_cond = cmean est se Z p lower upper cde 0.20166160 0.24935165 0.8087438 0.4186625 -0.2870587 0.69038186 pnde 0.20201570 0.26134450 0.7729862 0.4395305 -0.3102101 0.71424150 tnie -0.08499397 0.07810734 -1.0881688 0.2765206 -0.2380815 0.06809361 tnde 0.20161324 0.24784059 0.8134795 0.4159432 -0.2841454 0.68737186 pnie -0.08459151 0.07779868 -1.0873130 0.2768985 -0.2370741 0.06789110 te 0.11702173 0.26492462 0.4417171 0.6586940 -0.4022210 0.63626444 pm -0.80328878 2.01019061 -0.3996083 0.6894451 -4.7431900 3.13661242 exp(est) exp(lower) exp(upper) cde 1.2234339 0.7504677 1.994477 pnde 1.2238672 0.7332929 2.042637 tnie 0.9185178 0.7881384 1.070466 tnde 1.2233748 0.7526572 1.988483 pnie 0.9188876 0.7889328 1.070249 te 1.1241439 0.6688329 1.889410 pm NA NA NA