### Mediator model Call: lm(formula = bili ~ trt, data = data) Residuals: Min 1Q Median 3Q Max -3.4000 -2.5000 -1.7000 0.4434 24.3000 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 2.2132 0.8784 2.520 0.0123 * trt 0.7434 0.5532 1.344 0.1801 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 4.594 on 274 degrees of freedom Multiple R-squared: 0.006548, Adjusted R-squared: 0.002923 F-statistic: 1.806 on 1 and 274 DF, p-value: 0.1801 ### Outcome model Call: survival::coxph(formula = Surv(time, status) ~ trt + bili + trt:bili, data = data, ties = "efron") n= 276, number of events= 129 coef exp(coef) se(coef) z Pr(>|z|) trt -0.08286 0.92048 0.22094 -0.375 0.708 bili 0.19522 1.21558 0.04565 4.276 1.9e-05 *** trt:bili -0.03103 0.96944 0.02608 -1.190 0.234 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 exp(coef) exp(-coef) lower .95 upper .95 trt 0.9205 1.0864 0.5970 1.419 bili 1.2156 0.8227 1.1115 1.329 trt:bili 0.9694 1.0315 0.9211 1.020 Concordance= 0.782 (se = 0.019 ) Likelihood ratio test= 76.52 on 3 df, p=<2e-16 Wald test = 115.1 on 3 df, p=<2e-16 Score (logrank) test = 158.6 on 3 df, p=<2e-16 ### Mediation analysis est se Z p lower upper cde -0.1515674 0.24167061 -0.6271652 0.5305510 -0.62523308 0.32209831 pnde -0.3242940 0.21724139 -1.4927820 0.1354943 -0.75007935 0.10149126 tnie 0.1104747 0.08434748 1.3097565 0.1902782 -0.05484337 0.27579269 tnde -0.3575153 0.22336190 -1.6006101 0.1094633 -0.79529658 0.08026597 pnie 0.1436959 0.10841715 1.3253985 0.1850390 -0.06879778 0.35618962 te -0.2138194 0.23637352 -0.9045826 0.3656865 -0.67710297 0.24946421 pm -0.4387225 0.72508267 -0.6050655 0.5451355 -1.85985839 0.98241344 exp(est) exp(lower) exp(upper) cde 0.8593600 0.5351367 1.380020 pnde 0.7230376 0.4723291 1.106820 tnie 1.1168081 0.9466334 1.317575 tnde 0.6994120 0.4514473 1.083575 pnie 1.1545330 0.9335154 1.427878 te 0.8074942 0.5080868 1.283338 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: c_cond (covariate vector value) = Note that effect estimates can vary over m_cde and c_cond values when interaction = TRUE.