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John B Holmes
John B Holmes
Lecturer in Statistics
Verified email at canterbury.ac.nz
Title
Cited by
Cited by
Year
Evaluating and improving heritability models using summary statistics
D Speed, J Holmes, DJ Balding
Nature Genetics 52 (4), 458-462, 2020
1282020
Moments of the logit-normal distribution
JB Holmes, MR Schofield
Communications in Statistics-Theory and Methods 51 (3), 610-623, 2022
92022
Summary statistic analyses can mistake confounding bias for heritability
JB Holmes, D Speed, DJ Balding
Genetic Epidemiology 43 (8), 930-940, 2019
92019
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
52017
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
22015
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
12017
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
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Articles 1–10