1,757 search results for “methodology statistics” in the Public website
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Education
Methodology & Statistics offers bachelor's courses and a master's specialisation.
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Kenny van LieshoutFaculty of Social and Behavioural Sciences
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About the programme
The master's specialisation Methodology and Statistics in Psychology includes courses, a thesis and an internship. Teaching takes place in the form of seminars and small-group lectures and practicals, and is assessed primarily by written coursework and reports of empirical projects carried out individually…
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Thiosugars: reactivity, methodology and applications
Carbohydrates, alongside proteins and nucleic acids, constitute a crucial and versatile family of biomolecules present in all life forms. They manifest as monosaccharides, oligosaccharides, and polysaccharides, covalently bonded to proteins and fats. Carbohydrates are integral to plant and arthropod…
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Reevaluating Conceptions of Imperial Monetary Flow: New Methodologies and Frameworks
This project suggests a reconceptualisation of pre- and non-capitalist imperial monetary policy, arguing that the existing literature about imperial financial flows has unnecessarily privileged ideas of largesse and seemingly chaotic monetary distribution.
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Career prospects
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…
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Understanding scientific progress by analysing the context of scholarly citations
The objective of this project is to fundamentally improve our understanding of the ways in which science progresses. Empirical studies have used bibliographic metadata to provide relevant insights, but these studies have failed to tell us how science progresses. Supported by computational advances and…
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Synthetic Methodology Towards ADP-Ribosylation Related Molecular Tools
Phosphorylation affects all four major biomolecules – proteins, lipids, carbohydrates and nucleic acids – and plays a pivotal role in the most fundamental cellular functions.
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Admission requirements
To be eligible for Statistics & Data Science at Leiden University, you must meet the following admission requirements.
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Topics in mathematical and applied statistics
Promotor: A.W. van der Vaart
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Programme structure
The master's specialisation Methodology and Statistics in Psychology consists of three main parts: the mandatory and elective courses, a thesis and an internship.
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Peter Grünwald professor statistical learning
As of November 1st, Peter Grünwald has been appointed professor Statistical learning on a new chair hosted by both the Mathematical Institute and the Leiden Institute for Advanced Computer Science (LIACS).
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Imaging functional brain connectivity: pharmacological modulation, aging and Alzheimer's disease
Psychologist Bernadet Klaassens initiated a large fMRI study on the effect of drugs on brain networks in aging and Alzheimer's disease. It generated a unique data set and insight into a new method to develop drugs for patients with Alzheimer's.
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Development of Generalized Squared Distance Logistic Model (GSDLM).
The objective of this project is the development of a new psychometric model, called the Generalized Squared Distance Logistic Model (GSDLM). This model is an evolution of older psychometric approaches (such as PARELLA, GHCM, and GGUM) and the Gaussian Ordination Models (GOMs) used in environmental…
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Peter GrünwaldFaculty of Science
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Professor Richard Gill at TEDxFlanders “Statistical Errors in Court”
In a recent TEDx Flanders event “Statistical Errors in Court”, Statistical Scientist Richard Gill speaks about the case of Lucia de Berk, a nurse found guilty of several murders based largely on statistics.
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Aditi BhangaleFaculty of Social and Behavioural Sciences
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Ittay MannheimFaculty of Social and Behavioural Sciences
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Andrea van LangerakFaculty of Social and Behavioural Sciences
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Hannelies de JongeFaculty of Social and Behavioural Sciences
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Ligaya BreemerFaculty of Social and Behavioural Sciences
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Gabriel Castellar BarrosoFaculty of Social and Behavioural Sciences
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Rüya KoçerFaculty of Social and Behavioural Sciences
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Anikó LovikFaculty of Social and Behavioural Sciences
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Kevin KloosFaculty of Social and Behavioural Sciences
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Ingrid PenningFaculty of Social and Behavioural Sciences
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Jacqueline ZadelaarFaculty of Social and Behavioural Sciences
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Ethan McCormickFaculty of Social and Behavioural Sciences
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Multivariate Humanities
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…
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Bunga PratiwiFaculty of Social and Behavioural Sciences
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Lude RozemaFaculty of Social and Behavioural Sciences
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Gino Bertrand KpogbezanFaculty of Science
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Marta FioccoFaculty of Science
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From Data to insight
Social science research helps us understand human behaviour and social structures. These are determined by various factors, which makes the research complex and increases the likelihood of drawing the wrong conclusions. The choice of research method and analysis is therefore extremely important. It…
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Contact
You may contact LUXs through any of its members or secretariats of its participating institutes. You may also reach the steering group through its chair or secretariat.
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Ludo BlockFaculty of Governance and Global Affairs
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Festive meeting: Vision on Statistical Science & info on the new Masters track
This September a new Masters Track
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Jelle GoemanFaculty of Medicine
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The integration of meta-analysis and classification & regression trees: meta-CART
In meta-analysis, heterogeneity often exists between studies. In such cases, it is essential to investigate the sources of heterogeneity and understand the relationship between effect size and study characteristics (i.e., moderators).
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Sjoerd HuismanFaculty of Social and Behavioural Sciences
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Harold NefsFaculty of Social and Behavioural Sciences
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Sarah PlukaardFaculty of Social and Behavioural Sciences
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Zachry KlopFaculty of Social and Behavioural Sciences
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Mathilde VerdamFaculty of Social and Behavioural Sciences
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Peter de Heus
Faculty of Social and Behavioural Sciences
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Willem HeiserFaculty of Social and Behavioural Sciences
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Mariëlle Linting
Faculty of Social and Behavioural Sciences
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Stacked Domain Learning for multi-domain data: a new ensemble method
The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.
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The δ-machine: A new competitive and interpretable classifier based on dissimilarities
Does the δ-machine have higher accuracy than the other feature-based classifiers in some conditions?
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Pre-master’s programme
Are you planning to take a master’s degree programme in Psychology? And have you completed a Dutch HBO (University of Applied Sciences) or WO (academic) bachelor’s degree in a related field? Then the one-year pre-master’s programme in Psychology could be the right option for you.