cde_reg_impute

Initializes the specification of a CDE estimator based on an
regression imputation approach

A set of functions to estimate the controlled direct effect of treatment fixing a potential mediator to a specific value. Implements the sequential g-estimation estimator described in Vansteelandt (2009) <doi:10.1097/EDE.0b013e3181b6f4c9> and Acharya, Blackwell, and Sen (2016) <doi:10.1017/S0003055416000216> and the telescope matching estimator described in Blackwell and Strezhnev (2020) <doi:10.1111/rssa.12759>.

Matthew Blackwell

DirectEffects

Estimating Controlled Direct Effects for Explaining Causal
Findings

Avidit Acharya

Maya Sen

Shiro Kuriwaki

Jacob Brown

Anton Strezhnev

cde_reg_impute function

<dl><dt>...</dt>
<dd>Optional arguments to pass to the regression imputation
estimator.</dd></dl>

Arguments

Initialize an regression imputation CDE estimator — cde_reg_impute

<dl>

<dt>...</dt>
<dd>Optional arguments to pass to the regression imputation
estimator.</dd>

</dl>

cde_reg_impute: Initialize an regression imputation CDE estimator

Description

Usage

Arguments