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Outputs (6)

Nonlinear mixed-effects models with misspecified random-effects distribution (2019)
Journal Article
Drikvandi, R. (2020). Nonlinear mixed-effects models with misspecified random-effects distribution. Pharmaceutical Statistics, 19(3), 187-201. https://doi.org/10.1002/pst.1981

Nonlinear mixed‐effects models are being widely used for the analysis of longitudinal data, especially from pharmaceutical research. They use random effects which are latent and unobservable variables so the random‐effects distribution is subject to... Read More about Nonlinear mixed-effects models with misspecified random-effects distribution.

Permutation and Bayesian tests for testing random effects in linear mixed-effects models (2019)
Journal Article
Rao, K., Drikvandi, R., & Saville, B. (2019). Permutation and Bayesian tests for testing random effects in linear mixed-effects models. Statistics in Medicine, 38(25), 5034-5047. https://doi.org/10.1002/sim.8350

In many applications of linear mixed‐effects models to longitudinal and multilevel data especially from medical studies, it is of interest to test for the need of random effects in the model. It is known that classical tests such as the likelihood ra... Read More about Permutation and Bayesian tests for testing random effects in linear mixed-effects models.

On regularisation methods for analysis of high dimensional data (2019)
Journal Article
Sirimongkolkasem, T., & Drikvandi, R. (2019). On regularisation methods for analysis of high dimensional data. Annals of Data Science, 6(4), 737-763. https://doi.org/10.1007/s40745-019-00209-4

High dimensional data are rapidly growing in many domains due to the development of technological advances which helps collect data with a large number of variables to better understand a given phenomenon of interest. Particular examples appear in ge... Read More about On regularisation methods for analysis of high dimensional data.

Testing random effects in linear mixed-effects models with serially correlated errors (2019)
Journal Article
Drikvandi, R., & Noorian, S. (2019). Testing random effects in linear mixed-effects models with serially correlated errors. Biometrical Journal, 61(4), 802-812. https://doi.org/10.1002/bimj.201700203

In linear mixed‐effects models, random effects are used to capture the heterogeneity and variability between individuals due to unmeasured covariates or unknown biological differences. Testing for the need of random effects is a nonstandard problem b... Read More about Testing random effects in linear mixed-effects models with serially correlated errors.