adjust_trajectories: Adjust trajectories due to the intercurrent event (ICE)

In rbmi: Reference Based Multiple Imputation

Adjust trajectories due to the intercurrent event (ICE)

Description

Adjust trajectories due to the intercurrent event (ICE)

Usage

adjust_trajectories(
  distr_pars_group,
  outcome,
  ids,
  ind_ice,
  strategy_fun,
  distr_pars_ref = NULL
)

Arguments

distr_pars_group	Named list containing the simulation parameters of the multivariate normal distribution assumed for the given treatment group. It contains the following elements: mu: Numeric vector indicating the mean outcome trajectory. It should include the outcome at baseline. sigma Covariance matrix of the outcome trajectory.
outcome	Numeric variable that specifies the longitudinal outcome.
ids	Factor variable that specifies the id of each subject.
ind_ice	A binary variable that takes value 1 if the corresponding outcome is affected by the ICE and 0 otherwise.
strategy_fun	Function implementing trajectories after the intercurrent event (ICE). Must be one of getStrategies(). See getStrategies() for details.
distr_pars_ref	Optional. Named list containing the simulation parameters of the reference arm. It contains the following elements: mu: Numeric vector indicating the mean outcome trajectory assuming no ICEs. It should include the outcome at baseline. sigma Covariance matrix of the outcome trajectory assuming no ICEs.

Value

A numeric vector containing the adjusted trajectories.

See Also

adjust_trajectories_single().

rbmi documentation built on Nov. 24, 2023, 5:11 p.m.