ivw_mvmr: ivw_mvmr
In WSpiller/MRPracticals: An R Package illustrating features of MR Base and RadialMR
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
Fits an IVW multivariable Mendelian randomization model using first order weights.
Usage
1
ivw_mvmr(r_input, gencov)
Arguments
r_input
A formatted data frame using the format_mvmr function.
gencov
Calculating heterogeneity statistics requires the covariance between the effect of the genetic variants on each exposure to be known. This can either be estimated from individual level data, be assumed to be zero, or fixed at zero using non-overlapping samples of each exposure GWAS. A value of 0 is used by default.
Value
An dataframe containing MVMR results, including estimated coefficients, their standard errors, t-statistics, and corresponding (two-sided) p-values.
Author(s)
Wes Spiller; Eleanor Sanderson; Jack Bowden.
References
Sanderson, E., et al., An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings. International Journal of Epidemiology, 2018. [Internet]. 2018;dyy262. Available from: https://dx.doi.org/10.1093/ije/dyy262
Examples
1
ivw_mvmr(r_input)
WSpiller/MRPracticals documentation built on April 25, 2020, 10:52 a.m.
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Description Usage Arguments Value Author(s) References Examples
Description
Fits an IVW multivariable Mendelian randomization model using first order weights.
Usage
1 | ivw_mvmr(r_input, gencov)
|
Arguments
r_input |
A formatted data frame using the |
gencov |
Calculating heterogeneity statistics requires the covariance between the effect of the genetic variants on each exposure to be known. This can either be estimated from individual level data, be assumed to be zero, or fixed at zero using non-overlapping samples of each exposure GWAS. A value of |
Value
An dataframe containing MVMR results, including estimated coefficients, their standard errors, t-statistics, and corresponding (two-sided) p-values.
Author(s)
Wes Spiller; Eleanor Sanderson; Jack Bowden.
References
Sanderson, E., et al., An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings. International Journal of Epidemiology, 2018. [Internet]. 2018;dyy262. Available from: https://dx.doi.org/10.1093/ije/dyy262
Examples
1 | ivw_mvmr(r_input)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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