### Mediator model Call: glm(formula = bili_bin ~ trt, family = binomial(link = "logit"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 0.08577 0.38245 0.224 0.823 trt -0.08577 0.24091 -0.356 0.722 (Dispersion parameter for binomial family taken to be 1) Null deviance: 382.49 on 275 degrees of freedom Residual deviance: 382.36 on 274 degrees of freedom AIC: 386.36 Number of Fisher Scoring iterations: 3 ### Outcome model Call: glm(formula = spiders ~ trt + bili_bin + trt:bili_bin, family = binomial(link = "logit"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -1.45492 0.71027 -2.048 0.0405 * trt -0.08552 0.44824 -0.191 0.8487 bili_bin 1.07293 0.89928 1.193 0.2328 trt:bili_bin 0.11084 0.56832 0.195 0.8454 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 332.32 on 275 degrees of freedom Residual deviance: 311.83 on 272 degrees of freedom AIC: 319.83 Number of Fisher Scoring iterations: 4 ### Mediation analysis est se Z p lower upper cde 0.0835845607 0.62515643 0.133701833 0.8936384 -1.1416995 1.3088687 pnde 0.0008150528 0.34818454 0.002340864 0.9981323 -0.6816141 0.6832442 tnie -0.0303953379 0.08624914 -0.352413228 0.7245284 -0.1994405 0.1386499 tnde -0.0016182609 0.34457142 -0.004696445 0.9962528 -0.6769658 0.6737293 pnie -0.0279620242 0.07913539 -0.353344130 0.7238305 -0.1830645 0.1271405 te -0.0295802851 0.35561908 -0.083179690 0.9337087 -0.7265809 0.6674203 pm 1.0279748540 12.27727341 0.083729898 0.9332712 -23.0350389 25.0909886 exp(est) exp(lower) exp(upper) cde 1.0871771 0.3192759 3.701983 pnde 1.0008154 0.5057999 1.980292 tnie 0.9700620 0.8191889 1.148722 tnde 0.9983830 0.5081565 1.961539 pnie 0.9724253 0.8327144 1.135577 te 0.9708529 0.4835595 1.949202 pm NA NA NA Evaluated at: avar: trt a1 (intervened value of avar) = 2.3 a0 (reference value of avar) = 1.1 mvar: bili_bin 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.