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 research focuses on statistical modelling and statistical inference, as well as in data science and big data. My particular research interests are high dimensional statistics, mixed-effects models, multilevel models, nonparametric and semiparametric models, joint modelling, model diagnostics and missing data problems.
A major focus of my research has been on the development of statistical models and diagnostic tools for the analysis of complex data such as longitudinal, multilevel, clustered and high dimensional data, especially from clinical trials and observational studies.
I teach the MSc modules "Computational Statistics and Visualisation" and "Business Intelligence" for the MSc in Data Analytics as well as the MSc in Data Science. I will be the unit leader for the undergraduate module "Foundation Data Analysis" from September 2019.
Google Scholar page:
T. Sirimongkolkasem, R. Drikvandi (2019). On Regularisation Methods for Analysis of High Dimensional Data. Annals of Data Science.
R. Drikvandi, S. Noorian (2019). Testing random effects in linear mixed-effects models with serially correlated errors. Biometrical Journal.
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 (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 (RSS) 2016 International Conference', 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,