Since November 2018, I am a Senior Lecturer in Statistics at Manchester Metropolitan University. Previously, I was a Research Associate in Statistics at Imperial College London from October 2015 to October 2018. Prior to that, I was a Postdoctoral Fellow in Statistics at KU Leuven from October 2013 to September 2015.
My main research interests are statistical modelling and statistical inference, as well as data science and big data. My research particularly focuses on high dimensional statistics, mixed-effects models, multilevel models, nonparametric and semiparametric models, joint modelling, model diagnostics and missing data problems.
I teach the MSc modules "Computational Statistics and Visualisation" and "Business Intelligence" for the MSc in Data Analytics and the MSc in Data Science. I am unit leader for the undergraduate module "Foundation Data Analysis".
Google Scholar page:
K. Rao, R. Drikvandi, B. Saville (2019). Permutation and Bayesian tests for testing random effects in linear mixed-effects models. Statistics in Medicine.
R. Drikvandi, S. Noorian (2019). Testing random effects in linear mixed-effects models with serially correlated errors. Biometrical Journal. 61(4), pp.802-812.
T. Sirimongkolkasem, R. Drikvandi (2019). On Regularisation Methods for Analysis of High Dimensional Data. Annals of Data Science.
A. Williams, A. Boustati, D. Ezer, D. Arenas, J-H. de Wiljes, et al. (2018). CodeCheck: How do our food choices affect climate change?. The Alan Turing Institute.
R. Drikvandi (2017). Nonlinear mixed-effects models for pharmacokinetic data analysis: assessment of the random-effects distribution. Journal of Pharmacokinetics and Pharmacodynamics. 44(3), pp.223-232.
R. Drikvandi, G. Verbeke, G. Molenberghs (2017). Diagnosing misspecification of the random-effects distribution in mixed models. Biometrics. 73(1), pp.63-71.
A. Efendi, R. Drikvandi, G. Verbeke, G. Molenberghs (2017). A goodness-of-fit test for the random-effects distribution in mixed models. Statistical Methods in Medical Research. 26(2), pp.970-983.
R. Drikvandi, G. Verbeke, A. Khodadadi, V. Partovi Nia (2013). Testing multiple variance components in linear mixed-effects models. Biostatistics. 14(1), pp.144-159.
R. Drikvandi, A. Khodadadi, G. Verbeke (2012). Testing variance components in balanced linear growth curve models. Journal of Applied Statistics. 39(3), pp.563-572.
R. Drikvandi, R. Modarres, AH. Jalilian (2011). A bootstrap test for symmetry based on ranked set samples. Computational Statistics & Data Analysis. 55(4), pp.1807-1814.
R. Drikvandi (2019). A novel method for analysis of high dimensional data. 'The Royal Statistical Society International Conference 2019', Belfast, UK,
R. Drikvandi (2017). A joint mixed model for longitudinal data involving time-varying covariates. 'The 17th Conference of the Applied Stochastic Models and Data Analysis (ASMDA) International Society', London, UK,
R. Drikvandi (2016). A joint semiparametric mixed model for longitudinal data involving time-varying covariates. 'The Royal Statistical Society International Conference 2016', Manchester, UK,
R. Drikvandi (2015). Assessing the random effects part of mixed models. '8th International Conference of the ERCIM WG on Computational and Methodological Statistics', London, UK,
R. Drikvandi (2014). Diagnosing misspecication of the random-effects distribution in mixed models. '22nd Conference of the Belgian Statistical Society', Louvain-la-Neuve, Belgium,