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

2023-04-27

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Summary: </h4> -data-based multivariable Mendelian randomization (MVMR) methods, such as MVMR-Egger, MVMR-IVW, MVMR median-based, and MVMR-PRESSO, assess the causal effects of multiple risk factors on disease. However, accounting for variances in summary statistics related to risk factors remains a challenge. We propose a linear mixed model with measurement error correction (LMM-MEC) that acc...

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Literature Corpus work
630b769f-9303-587a-a5f2-feb158a28e18
DOI
10.1101/2023.04.25.23289099
Open publication

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A Linear Mixed Model with Measurement Error Correction (LMM-MEC): A Method for Summary-data-based Multivariable Mendelian RandomizationDOI 10.1101/2023.04.25.23289099
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