Promotor: A.W. van der Vaart

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 has a wide expertise in research methodology. The group offers methodological support in many projects in the field of education and child studies, and develops its own methodological research projects based on questions arising from this field.

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.

Science, Mathematical Institute (MI)

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.

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?

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

Peter Grunwald

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…

Promotor: P.D. Grünwald

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.

Science, Mathematical Institute (MI)

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 master’s programme Statistics & Data Science provides students with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme has two specialisations: Data Science and Statistical Science.

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'.

Science, Mathematical Institute (MI)

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…

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

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

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.

Science, Leiden Academic Centre for Drug Research (LACDR)

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 for PhD candidates and other researchers.

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

Mathematician Stéphanie van der Pas, the winner of the C.J. Kok Jury Award for her Ph.D. thesis in 2017, divides her time between research and education, and between pure mathematics and practical application.

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

The master's specialisation Applied Mathematics at Leiden University focuses on both computational and fundamental aspects of analysis and probability. It’s also an ideal basis for a PhD degree. Applied Mathematics is an excellent choice if you have the aspiration to pursue a PhD degree

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

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.

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…

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.

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

Developing and investigating statistical methods for complex data and models

Science, Mathematical Institute (MI)

The Quantitative Pharmacology group headed by Coen van Hasselt focusses on the application of state-of-the-art quantitative pharmacological mathematical and statistical (pharmacometrics) modeling combined with systems biology modeling approaches, to characterize biomarkers for of disease and treatment…

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.

The master’s specialisation Mathematics and Education at Leiden University prepares students to teach the subject of mathematics to secondary school students. The programme comprises a one-year mathematics component, followed by an education component in the second year.

Science, Mathematical Institute (MI)

Promotor: R.D. Gill, F. Taroni

Welcome to StatiCS: the Statistical Consultation Service. The goal of the service is to provide statistical support to PhD candidates and other researchers.

During embryonic growth, cells proliferate, differentiate, and collectively migrate to form different tissues at the right position and time in the body.

The master’s specialisation Mathematics and Science Based Business at Leiden University bridges science and business development by focusing on areas such as technology management, innovation, entrepeneurship, operations, and decision making.

Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…

This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.

This thesis develops statistical methods for the analysis of high dimensional data: high dimensional networks reconstruction (Chapters 1-4), incorporation of prior information in networks reconstruction (Chapters 2-4), incorporation of prior knowledge in genetic association studies (Chapter 3).