penalised.weights function

Calculates p-values for penalization of weights

Internal function for calculating penalized weights in conjunction with r.weights.

These weights are used in either the mr_ivw or mr_egger functions when penalized = TRUE, or in the mr_median function when method = "penalized".

penalised.weights(.Bx, .Bxse, .By, .Byse)

Arguments

• .Bx: Beta-coefficient for genetic association with the risk factor.
• .Bxse: Standard error of genetic association with the risk factor.
• .By: Beta-coefficient for genetic association with the outcome.
• .Byse: Standard error of genetic association with the outcome.

Returns

P-values corresponding to heterogeneity test for each genetic variant in turn (based on a chi-squared-1 distribution).

Details

None.

Examples

penalised.weights(ldlc, ldlcse, chdlodds, chdloddsse)