Multiple imputation for longitudinal data using Bayesian lasso imputation model
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9315
Abstract: Multiple imputation is a promising approach to handle missing data and is widely used in analysis of longitudinal clinical studies. A key consideration in the implementation of multiple imputation is to obtain accurate imputed values… read more here.
Keywords: imputation model; lasso imputation; multiple imputation; imputation ... See more keywords
A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits
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DOI: 10.1534/genetics.119.302934
Abstract: A multiple-trait Bayesian LASSO (MBL) for genome-based analysis and prediction of quantitative traits is presented and applied to two real data sets. The data-generating model is a multivariate linear Bayesian regression on possibly a huge… read more here.
Keywords: bayesian lasso; trait bayesian; prediction; analysis prediction ... See more keywords
Bivariate quantitative Bayesian LASSO for detecting association of rare haplotypes with two correlated continuous phenotypes
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2023.1104727
Abstract: In genetic association studies, the multivariate analysis of correlated phenotypes offers statistical and biological advantages compared to analyzing one phenotype at a time. The joint analysis utilizes additional information contained in the correlation and avoids… read more here.
Keywords: rare haplotypes; continuous phenotypes; phenotypes bivariate; association ... See more keywords