### 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 = 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 -0.11110276 0.22700215 -0.48943482 0.6245339 -0.55601880 0.33381328 tnie 0.03334147 0.03106515 1.07327555 0.2831475 -0.02754511 0.09422805 tnde -0.15210190 0.22116506 -0.68773024 0.4916227 -0.58557746 0.28137366 pnie 0.07434062 0.05726103 1.29827589 0.1941925 -0.03788894 0.18657017 te -0.07776129 0.22486579 -0.34581200 0.7294840 -0.51849013 0.36296756 pm -0.40551445 1.27419891 -0.31825051 0.7502949 -2.90289842 2.09186951 exp(est) exp(lower) exp(upper) cde 1.0226621 0.6114066 1.710544 pnde 0.8948468 0.5734877 1.396282 tnie 1.0339035 0.9728308 1.098810 tnde 0.8589008 0.5567842 1.324949 pnie 1.0771736 0.9628199 1.205109 te 0.9251853 0.5954189 1.437589 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.