approx_inference: Variance estimation of likelihood-based inference...

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

Description

Compute variance estimate of the likelihood-based inference using delta method

Usage

approx_inference(
  beta_last_ctl,
  beta_last_trt,
  cov4_ctl,
  cov4_trt,
  beta_complete_trt = NULL,
  cov4_complete_trt = NULL,
  obs_pi,
  var_xbar,
  adj_mean,
  n2,
  method
)

Arguments

beta_last_ctl	regression coefficient at last time point in control
beta_last_trt	regression coefficient at last time point in treatment
cov4_ctl	covariance of the coefficient at last time point in control
cov4_trt	covariance of the coefficient at last time point in treatment
beta_complete_trt	estimated regression coefficients for complete data in treatment
cov4_complete_trt	covariance of the estimated regression coefficients for complete data in treatment
obs_pi	marginal observed probability in each group
var_xbar	covariance of the covariates
adj_mean	overall mean of the covariates
n2	number of subjects in treatment
method	name of the likelihood-based method. Available: PMM, CBMI

Value

Estimation results:

• llh_estpoint estimate

• var_llhvariance estimate approximated by delta method

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