weighted_linear_estimators: Survey-weighted adjusted linear regression

In lmiratrix/blkvar: ATE and Treatment Variation Estimation for Blocked and Multisite RCTs

Survey-weighted adjusted linear regression

Description

Use survey weight regression to reweight blocks to target unbiased ATE estimators.

Usage

weighted_linear_estimators(
  formula,
  control_formula = NULL,
  siteID = NULL,
  data,
  scaled.weights = TRUE,
  weight.method = c("survey", "precision")
)

Arguments

formula	Specification of outcome, treatment, and block ID variables as a formula of form "Yobs ~ Z*B" (order of variables is important).
control_formula	The control_formula argument must be of the form ~ X1 + X2 + ... + XN. (nothing on left hand side of ~)
siteID	If not null, name of siteID that has randomization blocks
data	Dataframe of the data to analyse.
scaled.weights	Logical Scale the weights by overall proportions of treated and control.
weight.method	Use survey package (svgglm) or classic OLS (lm) for model fitting.

Value

Dataframe of results for different estimators.

See Also

Other linear model estimators: fixed_effect_estimators(), interacted_linear_estimators(), linear_model_estimators()

lmiratrix/blkvar documentation built on Nov. 18, 2024, 1:27 p.m.