bootci_tvmb {tvmediation}

Bootstrap samples to estimate confidence intervals for the mediation effect for a binary outcome.

Description

Part of the set of internal functions for estimating bootstrapped confidence intervals for the mediation effect for a binary outcome when user argument CI="boot".

Usage

bootci_tvmb(
  treatment,
  t.seq,
  m,
  outcome,
  coeff_data,
  span = 0.75,
  replicates = 1000
)

Arguments

treatment

a vector indicating treatment group

t.seq

a vector of unique time points for each observation

m

matrix of mediator values in wide format

outcome

matrix of outcome values in wide format

coeff_data

a merged dataset of indirect and direct effects and CIs estimated from bootci_coeff_binary

span

Numeric value of the span to be used for LOESS regression. Default = 0.75.

replicates

number of replicates for bootstrapping CIs. Default = 1000.

Value

timeseq

time points of estimation

alpha_hat

time-varying treatment effect on the mediator

CI.lower.a

CI lower limit for estimated coefficient alpha_hat

CI.upper.a

CI upper limit for estimated coefficient alpha_hat

gamma_hat

time-varying treatment effect on the outcome (direct effect)

CI.lower.g

CI lower limit for estimated coefficient gamma_hat

CI.upper.g

CI upper limit for estimated coefficient gamma_hat

beta_hat

time-varying effect of the mediator on the outcome

CI.lower.b

CI lower limit for estimated coefficient beta_hat

CI.upper.b

CI upper limit for estimated coefficient beta_hat

tau_hat

time-varying treatment effect on outcome (total effect)

CI.lower.t

CI lower limit for estimated coefficient tau_hat

CI.upper.t

CI upper limit for estimated coefficient tau_hat

medEffect

time varying mediation effect

CI.lower

CI lower limit for medEffect

CI.upper

CI upper limit for medEffect