Part of the set of internal functions for estimating bootstrapped confidence intervals for the coefficients of the mediation model for a continuous outcome and three treatment groups.
bootci_coeff_3trt(
T1,
T2,
t.seq,
mediator,
outcome,
t.est,
original.coeff,
boot.sample = 1000
)a vector indicating assignment to treatment 1
a vector indicating assignment to treatment 2
a vector of time points for each observation
matrix of mediator values in wide format
matrix of outcome values in wide format
time points at which to make the estimation. Default = t.seq
a list of the estimated coefficients.
number of replicates for bootstrapping confidence intervals. Default = 1000.
CI lower limit for estimated Treatment 1 effect on mediator
CI upper limit for estimated Treatment 1 effect on mediator
CI lower limit for estimated Treatment 2 effect on mediator
CI upper limit for estimated Treatment 2 effect on mediator
CI lower limit for estimated Treatment 1 direct effect on outcome
CI upper limit for estimated Treatment 1 direct effect on outcome
CI lower limit for estimated Treatment 2 direct effect on outcome
CI upper limit for estimated Treatment 2 direct effect on outcome
CI lower limit for estimated Treatment 1 total effect on outcome
CI upper limit for estimated Treatment 1 total effect on outcome
CI lower limit for estimated Treatment 2 total effect on outcome
CI upper limit for estimated Treatment 2 total effect on outcome
CI lower limit for estimated effect of mediator on outcome
CI upper limit for estimated effect of mediator on outcome