decideOutput

a data frame containing the final data to be analyzed, generated using <code>checkData()</code>.

para.df

logical. If <code>TRUE</code> (the default), the assumption of no interaction between the treatments and mediator is employed in the analysis.

noInteraction

significance level to use in construction of confidence intervals. Default is 0.05 (i.e. 95 percent confidence intervals).

sigLevel

number of bootstrap resamples taken for construction of confidence intervals.

boots

Subsidiary function to determine appropriate output and calculate confidence intervals

Functions to perform comparative causal mediation analysis to compare the mediation effects of different treatments via a common mediator. Results contain the estimates and confidence intervals for the two comparative causal mediation analysis estimands, as well as the ATE and ACME for each treatment. Functions provided in the package will automatically assess the comparative causal mediation analysis scope conditions (i.e. for each comparative causal mediation estimand, a numerator and denominator that are both estimated with the desired statistical significance and of the same sign). Results will be returned for each comparative causal mediation estimand only if scope conditions are met for it. See details in Bansak(2020)<doi:10.1017/pan.2019.31>.

decideOutput: Subsidiary Function for Comparative Causal Mediation Analysis

Description

Usage

Arguments

Value

References