Open makikoworldwide opened 1 year ago
I am conducting a mediation analysis with multiply imputed 30 data sets using "amelidiate {mediation}".
variables: mediators= m,outcome=y, treatment=rep(e,30),covariates=z, control_val=a0, treat_val=a1,
medout <- mediations(datasets, treatment, mediators, outcome, covariates, families=c("binomial","gaussian"), control.value = control_val, treat.value = treat_val, interaction=TRUE, conf.level=.95, sims=1000, set.seed(1))
med_pool <- amelidiate(medout) summary(med_pool)
The package provides pooled CI for all estimates but does not provide pooled p-values. Would there any way to calculate pooled p-values?
Thank you so much!
I am conducting a mediation analysis with multiply imputed 30 data sets using "amelidiate {mediation}".
variables: mediators= m,outcome=y, treatment=rep(e,30),covariates=z, control_val=a0, treat_val=a1,
medout <- mediations(datasets, treatment, mediators, outcome, covariates, families=c("binomial","gaussian"), control.value = control_val, treat.value = treat_val, interaction=TRUE, conf.level=.95, sims=1000, set.seed(1))
med_pool <- amelidiate(medout) summary(med_pool)
The package provides pooled CI for all estimates but does not provide pooled p-values. Would there any way to calculate pooled p-values?
Thank you so much!