| Testing multiple variance components in linear mixed-effects models R Drikvandi, G Verbeke, A Khodadadi, V Partovi Nia Biostatistics 14 (1), 144-159, 2013 | 82 | 2013 |
| On regularisation methods for analysis of high dimensional data T Sirimongkolkasem, R Drikvandi Annals of Data Science 6 (4), 737-763, 2019 | 53 | 2019 |
| Diagnosing misspecification of the random-effects distribution in mixed models R Drikvandi, G Verbeke, G Molenberghs Biometrics 73 (1), 63-71, 2017 | 42 | 2017 |
| Supplementary materials for: Diagnosing misspecification of the random-effects distribution in mixed models R Drikvandi, G Verbeke, G Molenberghs Biometrics, 2017 | 42 | 2017 |
| A goodness-of-fit test for the random-effects distribution in mixed models A Efendi, R Drikvandi, G Verbeke, G Molenberghs Statistical Methods in Medical Research 26 (2), 970–983, 2017 | 27 | 2017 |
| Sparse principal component analysis for natural language processing R Drikvandi, O Lawal Annals of Data Science 10 (1), 25-41, 2023 | 22 | 2023 |
| Nonlinear mixed-effects models for pharmacokinetic data analysis: assessment of the random-effects distribution R Drikvandi Journal of Pharmacokinetics and Pharmacodynamics 44 (3), 223-232, 2017 | 19 | 2017 |
| Permutation and Bayesian tests for testing random effects in linear mixed‐effects models K Rao, R Drikvandi, B Saville Statistics in Medicine 38 (25), 5034-5047, 2019 | 16 | 2019 |
| A bootstrap test for symmetry based on ranked set samples R Drikvandi, R Modarres, AH Jalilian Computational Statistics & Data Analysis 55 (4), 1807-1814, 2011 | 15 | 2011 |
| Testing variance components in balanced linear growth curve models R Drikvandi, A Khodadadi, G Verbeke Journal of Applied Statistics 39 (3), 563-572, 2012 | 11 | 2012 |
| Nonlinear mixed‐effects models with misspecified random‐effects distribution R Drikvandi Pharmaceutical Statistics 19 (3), 187-201, 2020 | 7 | 2020 |
| MEGH: A parametric class of general hazard models for clustered survival data FJ Rubio, R Drikvandi Statistical Methods in Medical Research 31 (8), 1603–1616, 2022 | 5 | 2022 |
| Testing random effects in linear mixed‐effects models with serially correlated errors R Drikvandi, S Noorian Biometrical Journal 61 (4), 802-812, 2019 | 4 | 2019 |
| Using big data analytics to explore the relationship between government stringency and preventative social behaviour during the COVID-19 pandemic in the United Kingdom N Al-Zubaidy, R Crespo, S Jones, R Drikvandi, L Gould, M Leis, ... medRxiv, 2021.07. 09.21260246, 2021 | 3 | 2021 |
| A framework for analysing longitudinal data involving time-varying covariates R Drikvandi, G Verbeke, G Molenberghs Annals of Applied Statistics 18 (2), 1618-1641, 2024 | | 2024 |
| Exploring the relationship between government stringency and preventative social behaviours during the COVID-19 pandemic in the United Kingdom N Al-Zubaidy, R Fernandez Crespo, S Jones, R Drikvandi, L Gould, ... Health Informatics Journal 29 (4), 14604582231215867, 2023 | | 2023 |
| High dimensional change points: challenges and some proposals L Zhang, R Drikvandi Proceedings of the 5th International Conference on Statistics: Theory and …, 2023 | | 2023 |
| A multilevel multivariate response model for data with latent structures Y Zhang, J Einbeck, R Drikvandi Proceedings of the 37th International Workshop on Statistical Modelling (IWSM), 2023 | | 2023 |
| Supplementary material to “MEGH: A parametric class of general hazard models for clustered survival data” FJ Rubio, R Drikvandi Statistical Methods in Medical Research, 2022 | | 2022 |
| CodeCheck: How do our food choices affect climate change? R Drikvandi, A Williams, A Boustati, D Ezer, D Arenas, JH de Wiljes, ... The Alan Turing Institute, 2018 | | 2018 |
