strategies: Strategies

In rbmi: Reference Based Multiple Imputation

Strategies

Description

These functions are used to implement various reference based imputation strategies by combining a subjects own distribution with that of a reference distribution based upon which of their visits failed to meet the Missing-at-Random (MAR) assumption.

Usage

strategy_MAR(pars_group, pars_ref, index_mar)

strategy_JR(pars_group, pars_ref, index_mar)

strategy_CR(pars_group, pars_ref, index_mar)

strategy_CIR(pars_group, pars_ref, index_mar)

strategy_LMCF(pars_group, pars_ref, index_mar)

Arguments

pars_group	A list of parameters for the subject's group. See details.
pars_ref	A list of parameters for the subject's reference group. See details.
index_mar	A logical vector indicating which visits meet the MAR assumption for the subject. I.e. this identifies the observations after a non-MAR intercurrent event (ICE).

Details

pars_group and pars_ref both must be a list containing elements mu and sigma. mu must be a numeric vector and sigma must be a square matrix symmetric covariance matrix with dimensions equal to the length of mu and index_mar. e.g.

list(
    mu = c(1,2,3),
    sigma = matrix(c(4,3,2,3,5,4,2,4,6), nrow = 3, ncol = 3)
)

Users can define their own strategy functions and include them via the strategies argument to impute() using getStrategies(). That being said the following strategies are available "out the box":

• Missing at Random (MAR)

• Jump to Reference (JR)

• Copy Reference (CR)

• Copy Increments in Reference (CIR)

• Last Mean Carried Forward (LMCF)

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