| 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, 2021 | 119 | 2021 |
| 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, 2020 | 119 | 2020 |
| 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 Burgess Wellcome open research 5, 2020 | 79 | 2020 |
| Pleiotropy robust methods for multivariable Mendelian randomization AJ Grant, S Burgess Statistics in medicine 40 (26), 5813-5830, 2021 | 78 | 2021 |
| 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, 2023 | 39 | 2023 |
| Multiple change point detection and validation in autoregressive time series data L Ma, AJ Grant, G Sofronov Statistical Papers 61, 1507-1528, 2020 | 12 | 2020 |
| Noise-augmented directional clustering of genetic association data identifies distinct mechanisms underlying obesity AJ Grant, D Gill, PDW Kirk, S Burgess PLoS Genetics 18 (1), e1009975, 2022 | 11 | 2022 |
| Parametric spectral discrimination AJ Grant, BG Quinn Journal of Time Series Analysis 38 (6), 838-864, 2017 | 8 | 2017 |
| An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting AJ Grant, S Burgess Biostatistics 23 (2), 609-625, 2022 | 6 | 2022 |
| Mendelian randomization for nephrologists E Dobrijevic, A van Zwieten, K Kiryluk, AJ Grant, G Wong, A Teixeira-Pinto Kidney International, 2023 | 4 | 2023 |
| Bias in multivariable Mendelian randomization studies due to measurement error on exposures J Zhu, S Burgess, AJ Grant arXiv preprint arXiv:2203.08668, 2022 | 4 | 2022 |
| A Bayesian approach to Mendelian randomization using summary statistics in the univariable and multivariable settings with correlated pleiotropy AJ Grant, S Burgess The American Journal of Human Genetics 111 (1), 165-180, 2024 | 3 | 2024 |
| Genetically Predicted Vegetable Intake and Cardiovascular Diseases and Risk Factors: An Investigation with Mendelian Randomization Q Feng, AJ Grant, Q Yang, S Burgess, J Bešević, M Conroy, W Omiyale, ... Nutrients 15 (17), 3682, 2023 | 3 | 2023 |
| Parametric methods for time series discrimination A Grant Macquarie University, 2022 | 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 Gelson GastroHep 3 (2), 80-87, 2021 | 3 | 2021 |
| MVMRmode: Introducing an R package for plurality valid estimators for multivariable Mendelian randomisation B Woolf, D Gill, AJ Grant, S Burgess medRxiv, 2023.01. 09.23284345, 2023 | 1 | 2023 |
| Discriminant analysis of time series A Grant Macquarie University, 2022 | 1 | 2022 |
| Vegetable intake and cardiovascular risk: genetic evidence from Mendelian randomization Q Feng, AJ Grant, Q Yang, S Burgess, J Bešević, M Conroy, W Omiyale, ... medRxiv, 2022.03. 21.22272719, 2022 | 1 | 2022 |
| Plasma protein signatures of adult asthma GJ Smilnak, Y Lee, A Chattopadhyay, AB Wyss, JD White, S Sikdar, J Jin, ... Allergy, 2024 | | 2024 |
| A noise-augmented directional clustering approach for identifying distinct mechanisms underlying genetic associations AJ Grant, D Gill, PDW Kirk, S Burgess HUMAN HEREDITY, 23-24, 2022 | | 2022 |
