Penalised weighted median MR — mr_penalised_weighted

Modification to standard weighted median MR Updated based on Burgess 2016 "Robust instrumental variable methods using multiple candidate instruments with application to Mendelian randomization"

Usage

mr_penalised_weighted_median(
  b_exp,
  b_out,
  se_exp,
  se_out,
  parameters = default_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 containing penk - Constant term in penalisation, and nboot - number of bootstrap replications to calculate SE. default_parameters() sets parameters=list(penk=20, nboot=1000).

Value

List with the following elements:

b: MR estimate
se: Standard error
pval: p-value