iv_predicted_exposure: linear model fitting to estimate the instrument predicted...

In hughesevoanth/glsmr: GAM and linear stratified observational and MR estimates of exposure on outcome

linear model fitting to estimate the instrument predicted exposure, sometimes referred to as d.hat in an MR framework.

Description

This function estimates instrument predicted exposure by fitting a linear model of instrument + covariates on exposure and extracting the fitted values.

Usage

iv_predicted_exposure(wdata, exposure, instrument, covariates = NULL)

Arguments

wdata	a data frame passed to function containing necessary data for analysis
exposure	a single string character of the column name for the exposure variable, which will be set as the response variable in this model.
instrument	a single string character of the column name for the instrument, which will be set as the independent or explanatory variable in the model.
covariates	a character vector that are also column names used to define variables that will be set as covariates.

Value

returns a lmfit object that is a list containing (1) 'fit' a lm() object and (2) 'summary' a vector of summary statistics.

Examples

iv_predicted_exposure()

hughesevoanth/glsmr documentation built on May 14, 2023, 3:41 p.m.