Evaluating and improving heritability models using summary statistics D Speed, J Holmes, DJ Balding Nature Genetics 52 (4), 458-462, 2020 | 128 | 2020 |
Moments of the logit-normal distribution JB Holmes, MR Schofield Communications in Statistics-Theory and Methods 51 (3), 610-623, 2022 | 9 | 2022 |
Summary statistic analyses can mistake confounding bias for heritability JB Holmes, D Speed, DJ Balding Genetic Epidemiology 43 (8), 930-940, 2019 | 9 | 2019 |
Estimation of genetic connectedness diagnostics based on prediction errors without the prediction error variance–covariance matrix JB Holmes, KG Dodds, MA Lee Genetics Selection Evolution 49 (1), 1-16, 2017 | 5 | 2017 |
A comparison of genetic connectedness measures using data from the NZ sheep industry JB Holmes, B Auvray, SA Newman, KG Dodds, MA Lee Association for the advancement of animal breeding and genetics 21, 469-472, 2015 | 2 | 2015 |
Possibilities of binomial probabilistic principal component models to identify groups in genotyped populations JB Holmes, KG Dodds, MA Lee Association for the advancement of animal breeding and genetics 22, 2017 | 1 | 2017 |
Pólya‐gamma data augmentation and latent variable models for multivariate binomial data JB Holmes, MR Schofield, RJ Barker Journal of the Royal Statistical Society Series C 71 (1), 194-218, 2022 | | 2022 |
Progress and Controversy in Analysis of Complex Phenotypes Based on Genome-wide Association Statistics D Balding, J Holmes, D Speed GENETIC EPIDEMIOLOGY 43 (7), 865-866, 2019 | | 2019 |
Modelling strategies to improve genetic evaluation for the New Zealand sheep industry JB Holmes University of Otago, 2018 | | 2018 |
Random and implications for genomic relationship matrices JB Holmes, MA Lee | | |