adjust_trajectories_single: Adjust trajectory of a subject's outcome due to the...

In rbmi: Reference Based Multiple Imputation

Adjust trajectory of a subject's outcome due to the intercurrent event (ICE)

Description

Adjust trajectory of a subject's outcome due to the intercurrent event (ICE)

Usage

adjust_trajectories_single(
  distr_pars_group,
  outcome,
  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.
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.

Details

outcome should be specified such that all-and-only the post-ICE observations (i.e. the observations to be adjusted) are set to NA.

Value

A numeric vector containing the adjusted trajectory for a single subject.

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