Výsledky vyhledávání - "GOLAN, DAVID"

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Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling

Autor: Weissbrod, Omer, Kaufman, Shachar, Golan, David, Rosset, Saharon

Publikováno v: JMLR (108):1-30, 2019

Modern data sets in various domains often include units that were sampled non-randomly from the population and have a latent correlation structure. Here we investigate a common form of this setting, where every unit is associated with a latent variab

Externí odkaz: http://arxiv.org/abs/1801.03901

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Effective Genetic Risk Prediction Using Mixed Models

Autor: Golan, David, Rosset, Saharon

To date, efforts to produce high-quality polygenic risk scores from genome-wide studies of common disease have focused on estimating and aggregating the effects of multiple SNPs. Here we propose a novel statistical approach for genetic risk predictio

Externí odkaz: http://arxiv.org/abs/1405.2709

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Narrowing the gap on heritability of common disease by direct estimation in case-control GWAS

Autor: Golan, David, Rosset, Saharon

One of the major developments in recent years in the search for missing heritability of human phenotypes is the adoption of linear mixed-effects models (LMMs) to estimate heritability due to genetic variants which are not significantly associated wit

Externí odkaz: http://arxiv.org/abs/1305.5363

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A method for generating realistic correlation matrices

Autor: Hardin, Johanna, Garcia, Stephan Ramon, Golan, David

Publikováno v: Annals of Applied Statistics 2013, Vol. 7, No. 3, 1733-1762

Simulating sample correlation matrices is important in many areas of statistics. Approaches such as generating Gaussian data and finding their sample correlation matrix or generating random uniform $[-1,1]$ deviates as pairwise correlations both have

Externí odkaz: http://arxiv.org/abs/1106.5834

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