### 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: MASS::glm.nb(formula = platelet ~ trt + bili, data = data, init.theta = 7.565462089, link = log) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 5.537521 0.071332 77.630 <2e-16 *** trt 0.033034 0.044547 0.742 0.458 bili -0.006098 0.004854 -1.256 0.209 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for Negative Binomial(7.5655) family taken to be 1) Null deviance: 284.50 on 275 degrees of freedom Residual deviance: 282.52 on 273 degrees of freedom AIC: 3288.8 Number of Fisher Scoring iterations: 1 Theta: 7.565 Std. Err.: 0.652 2 x log-likelihood: -3280.822 ### Mediation analysis est se Z p lower upper cde 0.039640606 0.053456352 0.7415509 0.4583595 -0.06513192 0.144413130 pnde 0.039640606 0.053456352 0.7415509 0.4583595 -0.06513192 0.144413130 tnie -0.005439403 0.005927448 -0.9176636 0.3587950 -0.01705699 0.006178181 tnde 0.039640606 0.053456352 0.7415509 0.4583595 -0.06513192 0.144413130 pnie -0.005439403 0.005927448 -0.9176636 0.3587950 -0.01705699 0.006178181 te 0.034201203 0.053435418 0.6400474 0.5221418 -0.07053029 0.138932698 pm -0.162217272 0.313168047 -0.5179879 0.6044667 -0.77601537 0.451580821 exp(est) exp(lower) exp(upper) cde 1.0404368 0.9369439 1.155361 pnde 1.0404368 0.9369439 1.155361 tnie 0.9945754 0.9830877 1.006197 tnde 1.0404368 0.9369439 1.155361 pnie 0.9945754 0.9830877 1.006197 te 1.0347928 0.9318995 1.149047 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 do not vary over m_cde and c_cond values when interaction = FALSE.