get_relative_risk {autoCovariateSelection}R Documentation

Compute relative risk for each of the covariates with respect to outcomes occurred


get_relative_risk function is a helper function used within the get_prioritised_covariates function. This function computes the prevalence in the exposed and that in the unexposed and simply returns the relative risk for all the covariates in the input data.frame


get_relative_risk(df, outcomeVec)



The input data.frame. Ideally this should be the output recurrence_data from the get_recurrence_covariates function. The first column should be the patient identifier column and all other columns should be binary covariates. The values of these binary columns should be 1 indicating occurrence of covariate and 0 indicating no occurrence of the covariate.


The 1-D outcome vector indicating whether or not the patient experienced the outcome of interest (value = 1) or not (value =0). The length of this vector should be equal to the number of rows of df. The order of elements in this vector should resonate with the order of patients in df


A 1-D vector containing relative risk of the association between the covariate (confounder) and the outcome. Thus, the length of this vector will be equal to the number of covariates.


Dennis Robert

[Package autoCovariateSelection version 1.0.0 Index]