Bayesian Summary Data Models for Mendelian Randomization Studies
Bayesian implementation of the MR-Egger multivariate model with choice...
Bayesian inverse variance weighted model with a choice of prior distri...
Organises the summary level data for use in the Bayesian MR functions
Bayesian inverse variance weighted model with a choice of prior distri...
Bayesian inverse variance weighted model with a choice of prior distri...
Bayesian radial MR-Egger model with a choice of prior distributions fi...
Bayesian inverse variance weighted model with a choice of prior distri...
mrbayes: Bayesian implementation of the IVW and MR-Egger models for tw...
Convert an object of class MRInput from the MendelianRandomization pac...
Bayesian implementation of the MVMR-Egger model with choice of prior d...
Bayesian implementation of the MVMR-Egger model with choice of prior d...
Organises the summary level data for use in the Bayesian MR functions
Bayesian multivariate inverse variance weighted model with a choice of...
Bayesian multivariate inverse variance weighted model with a choice of...
Bayesian estimation of inverse variance weighted (IVW), Burgess et al. (2013) <doi:10.1002/gepi.21758>, and MR-Egger, Bowden et al. (2015) <doi:10.1093/ije/dyv080>, summary data models for Mendelian randomization analyses.
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