mr_raps: Robust adjusted profile score

In MRCIEU/TwoSampleMR: Two Sample MR Functions and Interface to MR Base Database

Robust adjusted profile score

Description

Robust adjusted profile score

Usage

mr_raps(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	A list of parameters. Specifically, over.dispersion and loss.function. over.dispersion is a logical concerning should the model consider overdispersion (systematic pleiotropy). And loss.function allows using either the squared error loss ("l2") or robust loss functions/scores ("huber" or "tukey"). The default is parameters=list(overdispersion = TRUE, loss.function = "tukey").

Details

This function calls the mr.raps package. Please refer to the documentation of that package for more detail.

Value

List with the following elements:

b

MR estimate

se

Standard error

pval

p-value

nsnp

Number of SNPs

References

Qingyuan Zhao, Jingshu Wang, Jack Bowden, Dylan S. Small. Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. Forthcoming.

MRCIEU/TwoSampleMR documentation built on Sept. 28, 2024, 6:51 p.m.