1 citations · 2 across the 2 of their papers we have counts for
4 papers
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling
Omer Weissbrod, Shachar Kaufman, David Golan +1
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 for…
Effective Genetic Risk Prediction Using Mixed Models
David Golan, Saharon Rosset
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. H…
Narrowing the gap on heritability of common disease by direct estimation in case-control GWAS
David Golan, Saharon Rosset
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 heritabil…
A method for generating realistic correlation matrices
Johanna Hardin, Stephan Ramon Garcia, David Golan
Simulating sample correlation matrices is important in many areas of statistics. Approaches such as generating Gaussian data and finding their sample correlation matrix or generati…