rwe_cl: Composite Likelihood Estimation

In psrwe: PS-Integrated Methods for Incorporating RWE in Clinical Studies

Composite Likelihood Estimation

Description

Estimate parameter of interest based composite likelihood for a single PS stratum

Usage

rwe_cl(
  dta_cur,
  dta_ext,
  n_borrow = 0,
  outcome_type = c("continuous", "binary"),
  equal_sd = TRUE
)

Arguments

dta_cur	Vector of outcome from a PS stratum in current study
dta_ext	Vector of outcome from a PS stratum in external data source
n_borrow	Number of subjects to be borrowed
outcome_type	Type of outcomes: continuous or binary.
equal_sd	Boolean. whether sd is the same between the current study and external data source

Value

Maximum composite likelihood estimator of the mean

Examples

x <- rnorm(100,  mean = 0, sd = 1)
y <- rnorm(1000, mean = 1, sd = 2)
rwe_cl(x, y, n_borrow = 20, equal_sd = FALSE)

psrwe documentation built on March 18, 2022, 5:33 p.m.