naiveMI: Inference using naive method, under J2R

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

Description

Obtain estimation of the ATE using naive method by Rubin's rule or bootstrap

Usage

naiveMI(
  mmrm_formula,
  data_long,
  time_name,
  id_name,
  trt_name,
  M = 10,
  fit_model,
  estimator = "reg with interaction",
  bootstrap = FALSE,
  B = 100
)

Arguments

mmrm_formula	a symbolic description of the model to be fitted
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
M	imputation size
fit_model	type of the analysis model. Available: lm, Rfit::rfit (rank regression), MASS::rlm (robust regression)
estimator	Estimator type in Rubin's method
bootstrap	Whether to use bootstrap variance
B	the number of bootstrap replicate

Value

point estimation, variance estimation (Rubin + bootstrap)

• ate_estMI point estimation of the ATE

• var_rubinMI variance estimation by Rubin's rule

• var_bootMI variance estimation by bootstrap

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