Electoral Systems and Turnout: Evidence From a Regression Discontinuity Design. In this article, published on the website SAGE research methods, authors Jaroslaw Kantorowicz and Tobias M. Hlobil discuss how a Regression Discontinuity Design can be executed.

Today, CBS launches the Center for Big Data Statistics (CBDS), a cooperation of an unprecedented scale in the field of Big Data. Leiden University and HumanityX are key partners.

United Nations Global Pulse, an initiative of the UN Secretary-General on big data and AI, recently launched the Data Fellows program. Kevin Duisters, PhD in Statistics at the Mathematical Institute, was selected to take part in its first cohort of eight international students.

Doctors are there to diagnose and treat people. But sometimes a diagnosis can’t be made or doctors differ in opinion. Luckily, Alireza Mashaghi Tabari and his research team have developed a new framework to solve medical diagnostic problems. This framework can also be applied to many other research…

The Sanquin blood bank gathers data on every donation. Around 720,000 donations are made every year. ‘That generates a mountain of highly valuable data,’ says Leiden PhD candidate Marieke Vinkenoog.

The main methodological aspects of the use of stepwise LCA estimators under different circumstances.

The ultimate goal of cosmologists is to find a cosmological model able to explain the current observational data.

Promotor: P.D. Grünwald

Prof. dr. Aad van der Vaart has been appointed as Scientific Director of the Mathematical Institute of Leiden University on Tuesday 15 September 2015. He succeeds prof. dr. Peter Stevenhagen who has been a dedicated Scientific Director of the Mathematical Institute as from 2007.

In this project we study the properties of statistical- and rule-learning mechanisms in relation to the acquisition and evolution of language. We ask to what extent these mechanisms are unique to humans - or to human language - by comparing the acquisition of vocal structure in two species: humans (infants)…

In this work, we attempt to answer the question:

Promotor: W.Th.F. den Hollander, Co-promotor: F.R. Nardi

Classical statistical methods, such as p-values, are difficult for researchers to apply correctly. They for example do not allow drawing conclusions from a study early, or for extending a study with extra research groups that want to make their data available later.

Promotores: P. Stevenhagen, E. Fouvry (Univeriste Paris Saclay)

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

This thesis is based on five papers on several topics.

The master's specialisation Methodology and Statistics in Psychology consists of three main parts: the mandatory and elective courses, a thesis and an internship.

With a Master of Statistics & Data Science you have good job perspectives: statisticians and data scientists are highly sought after in various industries such as food and pharmaceutic industry, in governmental organizations, and in healthcare. Qualification to become a PhD candidate is a definite…

Aad van der Vaart, professor of stochastics at Leiden University, has been awarded the NWO Spinoza Prize for his groundbreaking research in statistics. Van der Vaart conducts fundamental research on models that can help, for instance, to identify genes that play a role in cancer.

Bradley Efron is a statistician from Stanford University best known for proposing the bootstrap resampling technique, which has had a major impact in the field of statistics and virtually every area of statistical application. The bootstrap was one of the first computer-intensive statistical techniques,…

In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.

This thesis explores Breaking of Ensemble Equivalence (BEE) in random graph models by examining the spectral properties of adjacency matrices. The goal is to identify spectral characteristics that differentiate random graph ensembles, enhancing the understanding of complex network structures and beh…

The aim of this project is to explore the use of statistical interaction models to quantify cross-omics and omics-drug interactions in large-scale clinical and experimental datasets

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of data sets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields…

Research of the Methodology & Statstics unit of the Institute of Psychology at Leiden University.

Statistics & Data Science is highly multidisciplinary. Within the programme we offer you a unique combination of knowledge and expertise through close collaboration.

The staff members of the Methodology & Statistics unit are members of various boards and committees.

Science is typically a patchwork of research contributions without much coordination. Especially in clinical trials, the follow-up studies that we do fail to be the most promising.

The two-year Master in Statistics & Data Science consists of 120 European Credit Transfer System (EC) points. It consists of a core set of mandatory courses, electives and a Master's Thesis Project.

Overlevingsanalyse is een onderzoeksgebied dat zich richt op het bestuderen van de tijd tot het optreden van een specifieke uitkomst.

Dementia is a progressive disease, diagnosed at a relatively late stage when intervention may not be effective. Aim of the research is to study scans of brain networks to help discover the early network changes related to dementia. Early diagnosis may benefit effectiveness of future treatment.

The research specialisation offers you the opportunity to spend two full years on training in applied mathematics to become an independent scientist with a strong theoretical basis.

Statistical considerations guide the design and implementation of the experiments that scientists perform. For instance, in a clinical trial about a the efficacy of a treatment, its effect in a certain minimum amount of patients has to be observed in order to make confident assertions about the efficacy…