Inverse variance weighted regression (multiplicative random effects model) — mr_ivw_mre • TwoSampleMR

Same as mr_ivw() but no correction for under dispersion.

Usage

mr_ivw_mre(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 of parameters.

Value

List with the following elements:

b: MR estimate
se: Standard error
pval: p-value
Q, Q_df, Q_pval: Heterogeneity stats