j2rLlh: Likelihood-based method

In Merck/mmrm: Mixed model repeated measures and its extension

Description

For a given dataset, find the likelihood-based inference of the ATE by delta method or nonparametric bootstrap

Usage

j2rLlh(
  mmrm_formula,
  data_long,
  time_name,
  id_name,
  trt_name,
  method = "PMM",
  bootstrap = FALSE,
  B = 100
)

Arguments

mmrm_formula	formula for fixed effect MMRM under MAR
data_long	long-form of the data frame
time_name	name of the time variable
id_name	name of the id variable
trt_name	name of the treatment variable
method	specific method for likelihood-based approach. Available: PMM (default), CBMI
bootstrap	whether to use bootstrap variance
B	the number of bootstrap replicate. Default: B = 100

Value

Point estimation and variance estimation obtained by delta method:

• ate_estpoint estimate

• var_llhvariance estimate approximated by delta method

• var_bootvariance estimate approximated by delta method

Merck/mmrm documentation built on Dec. 17, 2021, 4:12 a.m.