Author

Andrew J Grant

Sydney School of Public Health, University of Sydney - Cited by 314

Biography

Andrew J Grant is a Senior Lecturer in Bacterial Pathogenesis, Department of Veterinary medicine,Research group studies host-pathogen interactions and the molecular basis of virulence at University of Cambridge, United kingdom. Andrew J Grant work on a number of different pathogens of clinical significance for humans and other animals, particular interests include foodborne zoonoses.
Title
Cited by
Year
Cardiometabolic traits, sepsis, and severe COVID-19: a Mendelian randomization investigation
MJ Ponsford, A Gkatzionis, VM Walker, AJ Grant, RE Wootton, LSP Moore, ...Circulation 142 (18), 1791-1793, 2020202
95
2020
Gene–environment correlations and causal effects of childhood maltreatment on physical and mental health: a genetically informed approach
V Warrier, ASF Kwong, M Luo, S Dalvie, J Croft, HM Sallis, J Baldwin, ...The Lancet Psychiatry 8 (5), 373-386, 2021202
82
2021
MendelianRandomization v0. 5.0: updates to an R package for performing Mendelian randomization analyses using summarized data
JR Broadbent, CN Foley, AJ Grant, AM Mason, JR Staley, S BurgessWellcome open research 5, 2020202
51
2020
Pleiotropy robust methods for multivariable Mendelian randomization
AJ Grant, S BurgessStatistics in medicine (26), 5813-5830, 2021202
40
2021
Multiple change point detection and validation in autoregressive time series data
L Ma, AJ Grant, G SofronovStatistical Papers 61, 1507-1528, 2020202
10
2020
Parametric spectral discrimination
AJ Grant, BG QuinnJournal of Time Series Analysis 3 (6), 3-64, 2017201
8
2017
Using genetic association data to guide drug discovery and development: Review of methods and applications
S Burgess, AM Mason, AJ Grant, EAW Slob, A Gkatzionis, V Zuber, ...The American Journal of Human Genetics 110 (2), 195-214, 2023202
6
2023
An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting
AJ Grant, S BurgessBiostatistics 23 (2), 09-25, 2022202
6
2022
Noise-augmented directional clustering of genetic association data identifies distinct mechanisms underlying obesity
AJ Grant, D Gill, PDW Kirk, S BurgessPLoS Genetics 18 (1), e1009975, 2022202
6
2022
Bias in multivariable Mendelian randomization studies due to measurement error on exposures
J Zhu, S Burgess, AJ GrantarXiv preprint arXiv:220.08668, 2022202
3
2022
Assessing efficacy of hepatocellular carcinoma prediction scores to prioritise hepatitis B surveillance in the COVID‐19 era
R Sinharay, AJ Grant, L Rivett, R Blackwell, G Mells, W GelsonGastroHep (2), 80-87, 2021202
3
2021
Parametric methods for time series discrimination
AJ GrantPhD thesis, Macquarie University, Sydney, Australia, 2018201
3
2018
Discriminant analysis of time series
A GrantMacquarie University, Faculty of Science and Engineering, Department of …, 20520
1
2015

Referred From: https://scholar.google.com/citations?hl=en&user=LgHLFB0AAAAJ

Cited by
Citations 314
h-index 6
i10-index 5
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