generate_data_single: Generate data for a single group

In rbmi: Reference Based Multiple Imputation

Generate data for a single group

Description

Generate data for a single group

Usage

generate_data_single(pars_group, strategy_fun = NULL, distr_pars_ref = NULL)

Arguments

pars_group	A simul_pars object as generated by set_simul_pars(). It specifies the simulation parameters of the given group.
strategy_fun	Function implementing trajectories after the intercurrent event (ICE). Must be one of getStrategies(). See getStrategies() for details. If NULL then post-ICE outcomes are untouched.
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. If NULL, then these parameters are inherited from pars_group.

Value

A data.frame containing the simulated data. It includes the following variables:

• id: Factor variable that specifies the id of each subject.

• visit: Factor variable that specifies the visit of each assessment. Visit 0 denotes the baseline visit.

• group: Factor variable that specifies which treatment group each subject belongs to.

• outcome_bl: Numeric variable that specifies the baseline outcome.

• outcome_noICE: Numeric variable that specifies the longitudinal outcome assuming no ICEs.

• ind_ice1: Binary variable that takes value 1 if the corresponding visit is affected by ICE1 and 0 otherwise.

• dropout_ice1: Binary variable that takes value 1 if the corresponding visit is affected by the drop-out following ICE1 and 0 otherwise.

• ind_ice2: Binary variable that takes value 1 if the corresponding visit is affected by ICE2.

• outcome: Numeric variable that specifies the longitudinal outcome including ICE1, ICE2 and the intermittent missing values.

See Also

simulate_data().

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