### 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: glm(formula = platelet ~ trt + bili + trt:bili, family = poisson(link = "log"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 5.578556 0.015149 368.253 < 2e-16 *** trt 0.008362 0.009340 0.895 0.371 bili -0.019536 0.003254 -6.004 1.93e-09 *** trt:bili 0.007832 0.001843 4.249 2.15e-05 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for poisson family taken to be 1) Null deviance: 9286.7 on 275 degrees of freedom Residual deviance: 9198.0 on 272 degrees of freedom AIC: 11231 Number of Fisher Scoring iterations: 4 ### Mediation analysis est se Z p lower upper cde 0.023190983 0.009673364 2.3974062 1.651161e-02 0.004231538 0.042150429 pnde 0.037283994 0.009566737 3.8972531 9.728992e-05 0.018533535 0.056034453 tnie -0.001359404 0.001593827 -0.8529184 3.937045e-01 -0.004483248 0.001764439 tnde 0.045667398 0.010328677 4.4214181 9.805524e-06 0.025423564 0.065911233 pnie -0.009742809 0.007355969 -1.3244766 1.853448e-01 -0.024160243 0.004674626 te 0.035924589 0.009838686 3.6513607 2.608546e-04 0.016641120 0.055208059 pm -0.038550469 0.048856911 -0.7890484 4.300837e-01 -0.134308254 0.057207316 exp(est) exp(lower) exp(upper) cde 1.0234620 1.0042405 1.043051 pnde 1.0379878 1.0187063 1.057634 tnie 0.9986415 0.9955268 1.001766 tnde 1.0467262 1.0257495 1.068132 pnie 0.9903045 0.9761293 1.004686 te 1.0365777 1.0167804 1.056760 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.