Fits a multivariable Mendelian randomization model adjusting for weak instruments. The functions requires a formatted dataframe using the
format_mvmr function, as well a phenotypic correlation matrix
pcor. This should be obtained from individual level
phenotypic data, or constructed as a correlation matrix where correlations have previously been reported. Confidence intervals are calculated using a non-parametric bootstrap.
By default, standard errors are not produced but can be calculated by setting
se = TRUE. The number of bootstrap iterations is specified using the
Note that calculating confidence intervals at present can take a substantial amount of time.
A phenotypic correlation matrix including the correlation between each exposure included in the MVMR analysis.
Indicates whether 95 percent confidence intervals should be calculated using a non-parametric bootstrap.
Specifies number of bootstrap iterations for calculating 95 percent confidence intervals.
Sanderson, E., et al., An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings. International Journal of Epidemiology, 2019, 48, 3, 713-727. doi:10.1093/ije/dyy262