### Mediator model Call: lm(formula = bili ~ trt, data = data) Residuals: Min 1Q Median 3Q Max -2.6050 -1.8125 -1.2587 0.0875 25.0950 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.5200 0.8489 1.791 0.0749 . trt 0.6925 0.5336 1.298 0.1959 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 3.735 on 194 degrees of freedom Multiple R-squared: 0.008607, Adjusted R-squared: 0.003496 F-statistic: 1.684 on 1 and 194 DF, p-value: 0.1959 ### Outcome model Call: glm(formula = spiders ~ trt + bili + trt:bili, family = poisson(link = "log"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -1.62134 0.38231 -4.241 2.23e-05 *** trt 0.07229 0.23962 0.302 0.76288 bili 0.12547 0.03985 3.148 0.00164 ** trt:bili -0.03830 0.02405 -1.592 0.11131 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for poisson family taken to be 1) Null deviance: 198.14 on 275 degrees of freedom Residual deviance: 186.76 on 272 degrees of freedom AIC: 354.76 Number of Fisher Scoring iterations: 5 ### Mediation analysis est se Z p lower upper cde 0.02240911 0.26245492 0.08538271 0.9319571 -0.49199308 0.53681130 pnde -0.05680382 0.23898764 -0.23768517 0.8121253 -0.52521099 0.41160336 tnie 0.03105934 0.02959931 1.04932651 0.2940279 -0.02695424 0.08907293 tnde -0.09499669 0.23030512 -0.41248189 0.6799863 -0.54638644 0.35639305 pnie 0.06925222 0.05511394 1.25652808 0.2089246 -0.03876913 0.17727356 te -0.02574447 0.23520352 -0.10945616 0.9128407 -0.48673489 0.43524595 pm -1.17267834 10.83538145 -0.10822677 0.9138158 -22.40963575 20.06427906 exp(est) exp(lower) exp(upper) cde 1.0226621 0.6114066 1.710544 pnde 0.9447794 0.5914306 1.509236 tnie 1.0315467 0.9734058 1.093160 tnde 0.9093759 0.5790384 1.428169 pnie 1.0717065 0.9619728 1.193958 te 0.9745841 0.6146300 1.545343 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.