Article

Improving on a modal-based estimation method: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are valid

2017-08-11

Abstract excerpt

<h4>Background</h4> A robust method for Mendelian randomization does not require all genetic variants to be valid instruments to give consistent estimates of a causal parameter. Several such methods have been developed, including a mode-based estimation method giving consistent estimates if a plurality of genetic variants are valid instruments; that is, there is no larger subset of invalid instruments estimating...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 197ff819-9929-5358-875a-3f316a000e95
DOI: 10.1101/175372

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Improving on a modal-based estimation method: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are validDOI 10.1101/175372Read

Modal-based estimation via heterogeneity-penalized weighting: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are valid.Semantic proximity Read

Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumptionSemantic proximity Read

A Linear Mixed Model with Measurement Error Correction (LMM-MEC): A Method for Summary-data-based Multivariable Mendelian RandomizationSemantic proximity Read

A Comparison Of Robust Mendelian Randomization Methods Using Summary DataSemantic proximity Read

Robust inference in summary data Mendelian randomisation via the zero modal pleiotropy assumptionSemantic proximity Read

MVMRmode: Introducing an R package for plurality valid estimators for multivariable Mendelian randomisationSemantic proximity Read

A Guide to Understanding Mendelian Randomization StudiesSemantic proximity Read

METEOR: a data-adaptive Mendelian randomization method for powerful detection of shared and specific exposures underlying multiple outcomes.Semantic proximity Read

A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related DiseasesSemantic proximity Read

MVMRmode: Introducing an R package for plurality valid estimators for multivariable Mendelian randomisation.Semantic proximity Read

A robust and efficient method for Mendelian randomization with hundreds of genetic variants.Semantic proximity Read

Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator.Semantic proximity Read