calc_myreg_mreg_linear_yreg_logistic: Create calculators for effects and se (mreg linear / yreg...

In regmedint: Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms

Create calculators for effects and se (mreg linear / yreg logistic)

Description

Construct functions for the conditional effect estimates and their standard errors in the mreg linear / yreg logistic setting. Internally, this function deconstructs model objects and feeds parameter estimates to the internal worker functions calc_myreg_mreg_linear_yreg_logistic_est and calc_myreg_mreg_linear_yreg_logistic_se.

Usage

calc_myreg_mreg_linear_yreg_logistic(
  mreg,
  mreg_fit,
  yreg,
  yreg_fit,
  avar,
  mvar,
  cvar,
  emm_ac_mreg,
  emm_ac_yreg,
  emm_mc_yreg,
  interaction
)

Arguments

mreg	A character vector of length 1. Mediator regression type: "linear" or "logistic".
mreg_fit	Model fit from fit_mreg
yreg	A character vector of length 1. Outcome regression type: "linear", "logistic", "loglinear", "poisson", "negbin", "survCox", "survAFT_exp", or "survAFT_weibull".
yreg_fit	Model fit from fit_yreg
avar	A character vector of length 1. Treatment variable name.
mvar	A character vector of length 1. Mediator variable name.
cvar	A character vector of length > 0. Covariate names. Use NULL if there is no covariate. However, this is a highly suspicious situation. Even if avar is randomized, mvar is not. Thus, there are usually some confounder(s) to account for the common cause structure (confounding) between mvar and yvar.
emm_ac_mreg	A character vector of length > 0. Effect modifiers names. The covariate vector in treatment-covariate product term in the mediator model.
emm_ac_yreg	A character vector of length > 0. Effect modifiers names. The covariate vector in treatment-covariate product term in the outcome model.
emm_mc_yreg	A character vector of length > 0. Effect modifiers names. The covariate vector in mediator-covariate product term in outcome model.
interaction	A logical vector of length 1. The presence of treatment-mediator interaction in the outcome model. Default to TRUE.

Value

A list containing a function for effect estimates and a function for corresponding standard errors.

regmedint documentation built on June 25, 2024, 1:16 a.m.