Run bootstrap to generate standard errors for MR — mr_egger_regression_bootstrap • TwoSampleMR

Run bootstrap to generate standard errors for MR

Usage

mr_egger_regression_bootstrap(b_exp, b_out, se_exp, se_out, parameters)

Arguments

b_exp: Vector of genetic effects on exposure.
b_out: Vector of genetic effects on outcome.
se_exp: Standard errors of genetic effects on exposure.
se_out: Standard errors of genetic effects on outcome.
parameters: List of parameters. Specifically, the nboot parameter can be specified for the number of bootstrap replications. The default is parameters=list(nboot=1000).

Value

List of with the following elements:

b: MR estimate
se: Standard error of MR estimate
pval: p-value of MR estimate
b_i: Estimate of horizontal pleiotropy (intercept)
se_i: Standard error of intercept
pval_i: p-value of intercept
mod: Summary of regression
dat: Original data used for MR Egger regression