Promotor: A.W. van der Vaart

This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.

Methodology and Statistics focuses on the development, evaluation and application of statistical models for the analysis of psychological research data.

The programme group Research Methods and Statistics develops and teaches the large majority of methodological courses in all phases of the program Education and Child Studies.

In the specialisation Methodology and Statistics, part of the Master in Psychology, you will focus on in-depth study of statistical theory and research methodology as well as on the acquisition of data analysis skills.

The programme group Research Methods and Statistics offers methodological support in many projects in the field of education and child studies.

Next April, Leiden will host the seventh annual international Survival Analysis for Junior Researchers conference (SAfJR2018). This three-day event is aimed at career-young statisticians with an interest in the application and development of time-to-event analysis and related topics. The conference…

Alumni event

The programme group Research Methods and Statistics offers support to researchers from a variety of research projects within Education and Child Studies.

The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.

Promotor: P.D. Grünwald

Can the (industrial) herbal extraction process be mathematically described and can this model be used to optimize the extraction in terms of quality and economical parameters?

Peter Grunwald

The Mathematical Institute is responsible for the research and education in mathematics and statistics at Leiden University.

Novel methods for understanding key aspects that are essential to the future of Bayesian inference for high- or infinite-dimensional models and data.

Systems pharmacology aims to apply techniques from systems biology to pharmacological models.

In this project, we aim to develop mathematical models to mechanistically and quantitatively predict the dynamics of cellular stress pathway activation and its relation with toxic effects when cells are exposed to various toxicants.

The master’s programme Mathematics at Leiden University focuses on analysis, probability and statistics, number theory and (arithmetic) geometry. It offers five specialisations ranging from Applied Mathematics to Mathematics and Business Studies.

The Leiden University Center for Statistical Science unites the statisticians teaching and researching at Leiden University.

Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.

PhD candidates carry out a programme of independent research, leading to a PhD thesis in typically 4 years.

Mathematics forms the basis of many innovations in technology, the service industry and science, such as data analysis and coding, artificial intelligence, weather or climate change modelling or understanding molecular processes. The researchers from the Mathematical Institute (MI) are constantly developing…

A novel mathematical model describes spatial-temporal drug distribution within one or more brain units, which are cubic representations of a piece of brain tissue with brain capillaries at the edges.

The group Statistical Science is responsible for research and teaching in statistics and data science.

Science, Mathematical Institute (MI)

Immunotherapies for cancer are an emerging class of therapeutic strategies which aim to treat cancer via augmentation of the immune system.

The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.

Epithelial-mesenchymal plasticity (EMP) and tumor cell migration play an important role in cancer progression, and an improved understanding of the mechanisms underlying these concepts is essential for developing new targeted approaches.

Systems with local constraints is a new finding in recent researches on complex systems. The heterogeneous spatial interactions and the temporal dependencies among those numerous units make it difficult to describe by traditional statistical physics.

The Graduate School of Social and Behavioural Sciences in collaboration with the Department of Methodology and Statistics and researchers in the field of Methodology and/or Statistics of the other Institutes provides training courses for PhD candidates and other researchers.

PhD candidates carry out a programme of independent research, leading to a PhD thesis in typically 4 years.

Perform cutting-edge research in the area of the STAR mathematics cluster.

Promotores: J.C. van Houwelingen, S.A. van de Geer

The availability of complete plant genome sequences together with the ever increasing amount of data on the molecular, cellular and physiological mechanisms of plant development require mathematical and computational models to obtain a complete overview of and generate new insights into the quantitative…

Cellular stress response pathways are activated upon exposure to chemicals and help organisms deal with various molecular dangers (e.g. oxidative stress). When these pathways become hyper-activated an adverse response takes place and cells die, which may lead to organism-level toxicity such as drug-induced…

The Department of Methodology and Statistics proudly celebrates the remarkable achievements of two award winners

As a Mathematics student, you will learn to solve complex problems in creative ways using logical thinking and mathematical structures. A Mathematics degree will open many doors for you in society.

This research team is concerned with the measurement and modelling of behaviour, cognition, and unobserved traits (e.g., latent variables, missing data). Central aims include the distillation of a complex set of features into lower-dimensional representations (e.g., factor analysis, IRT), determining…

How does the extracellular matrix coordinate endothelial cell behavior during angiogenesis, and how do metabolic waste-products and matrix-degrading enzymes produced by the tumour modify the extracellular matrix so as the change the cellular coordination?

This study looks at the question of how and at what level students in primary teacher education can integrate theory and practice, and how the organisation of their learning environment, focusing especially on mathematics and pedagogy, can contribute to that.

Despite being the object of intense study, embryonic development has been difficult to model due to a number of reasons. First, complex tissues can be comprised of many cell types, of which we probably only know a subset.