bootci_coeff_binary {tvmediation}

Bootstrap samples to estimate confidence intervals for binary outcome coefficients.

Description

Internal function for estimating bootstrapped confidence intervals for the coefficients of the mediation model for a binary outcome.

Usage

bootci_coeff_binary(
  treatment,
  t.seq,
  m,
  outcome,
  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

span

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

replicates

Number of replicates for bootstrapping confidence intervals. Default = 1000.

Value

t.seq

time points of estimation

CI.lower.a

CI lower limit for alpha_hat

CI.upper.a

CI upper limit for alpha_hat

CI.lower.g

CI lower limit for gamma_hat

CI.upper.g

CI upper limit for gamma_hat

CI.lower.b

CI lower limit for beta_hat

CI.upper.b

CI upper limit for beta_hat

CI.lower.t

CI lower limit for tau_hat

CI.upper.t

CI upper limit for tau_hat