1,093 zoekresultaten voor “longitudinal data analysis” in de Publieke website
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Statistical modelling of time-varying covariates for survival data
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.
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Dimensions of desistance: A qualitative longitudinal analysis of different dimensions of the desistance process among long-term prisoners in
Op 5 september 2019 verdedigde Jennifer Doekhie haar proefschrift 'Dimensions of desistance: A qualitative longitudinal analysis of different dimensions of the desistance process among long-term prisoners in the Netherlands'. Het promotieonderzoek is begeleid door promotor prof.dr. P. Nieuwbeerta.
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Mining Sensor Data from Complex Systems
Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe
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EuDEco Report on the legal analysis (D2.2)
D2.2 comprises the in-depth legal analysis of the initial heuristic model, focused on addressing, in more detail, the main legal concerns for data reusers in the European data economy. This detailed analysis of the legal propositions presented in D2.1 is supplemented by an analysis of the technological,…
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EuDEco report on the analysis of framework conditions (D1.2)
D1.2 reports on the findings of an analysis of framework conditions relevant in the context of the data economy from a legal, a socio-economic and a technological perspective. The analysis is a key foundation for the creation of an initial, heuristic model of the European data economy. The deliverable…
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Data
Het gebruik van ‘Big data’ is niet meer weg te denken binnen het wetenschappelijk onderzoek. Voor dit onderzoek maken we gebruiken van diverse grote databestanden.
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Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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Multi-Omics in Research: Epidemiology, Methodology, and Advanced Data Analysis
Promotie
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Analysis of Energy Systems
The Institute of Environmental Sciences has carried out and participates in several projects that deal with the analysis of energy systems.
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Analysis and Dynamical Systems
Het onderzoek van dit programma is gecentreerd rond dynamische systemen, functionele analyse en hun interactie.
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Analysis and Stochastics
The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.
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Structural Health Monitoring Meets Data Mining
Promotor: Prof.dr. J.N. Kok, Co-promotor: A.J. Knobbe
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Data science
Het merendeel van de wetenschappers, van archeologen tot zoölogen, verzamelt enorme hoeveelheden gegevens. Hun databanken bevatten grote hoeveelheden informatie die voor de mens moeilijk te filteren zijn. Met een stevige basis in de statistiek en de computerwetenschappen kunnen we algoritmes ontwikkelen…
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Governance and Data Science Group
The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…
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Many objective optimization and complex network analysis
This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.
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Cultural Analysis: Literature and Theory (MA)
De masteropleiding Cultural Analysis: Literature and Theory van de Universiteit Leiden richt zich op de studie van literatuur vanuit een vergelijkend en theoretisch perspectief, en onderzoekt de literatuur van een breed spectrum van talen en culturen uit de hele wereld.
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Advances in Survival Analysis and Optimal Scaling Methods
This thesis is based on five papers on several topics.
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Steady-State Analysis of Large Scale Systems
Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma
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Adaptive Streaming Applications: Analysis and Implementation Models
Promotor: Prof.dr. E. Deprettere
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MICA – Material Intelligence Capacity Analysis
Can we develop a platform for raw materials intelligence?
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Data Science
Het merendeel van de wetenschappers, van archeologen tot zoölogen, verzamelt enorme hoeveelheden gegevens. Hun databanken bevatten grote hoeveelheden informatie die voor de mens moeilijk te filteren zijn. Met een stevige basis in de statistiek en de computerwetenschappen kunnen we algoritmes ontwikkelen…
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ALL-IN meta-analysis
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.
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Data Science
Het verzamelen en interpreteren van grote hoeveelheden data is niet meer weg te denken uit de maatschappij en de wetenschap. De Universiteit Leiden is een kennis- en expertisecentrum van data science dat de nadruk legt op interdisciplinaire samenwerking en innovatie.
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Development of automatic image analysis methods for high-throughput and high-content screening
Promotor: Prof.dr. B. van de Water
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Oratie: Data van Waarde
Door individuele gezondheidsgegevens te vergelijken met groepsdata, kunnen artsen advies op maat geven en kunnen patiënten leren van elkaars ervaringen. Wessel Kraaij, hoogleraar Applied Data Analytics, laat zien hoe persoonlijke data een voorspellende waarde kunnen hebben.
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Structural and functional analysis of proteins involved in natural product biosynthesis and morphological differentiation in Streptomyces
Streptomyces present a valuable platform for natural product discovery. Lugdunomycin is a novel angucycline-derived polyketide from Streptomyces sp QL37, with unprecedented skeleton and antimicrobial activity.
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Data Analyst (0,8 - 1,0 FTE)
Leiden Learning & Innovation Centre
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Data
Data Sets afdeling Economie
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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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Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
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Mass Spectrometry-Based Degradomics Analysis of Toxoid Vaccines
The chemical and structural heterogeneity of toxoid vaccines makes their analysis challenging. However, detailed insights on a molecular level can be obtained by mass spectrometry.
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Publicatie Helena Ursic en Bart Custers over data reuse
Data reuse en big data: een ordening voor persoonlijke data reuse.
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Shape Analysis for Phenotype Characterisation from High-throughput Imaging
We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.
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Population-Scale Network Analysis (POPNET)
Een infrastructuur voor onderzoeksdata in computationele sociale wetenschappen
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Chainet - European network on chain analysis for environmental decision support
Analytical tools for environmental design and management in a systems perspective. The combined use of analytical tools.
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Analysis of sub-visible particles in complex injectable formulations
Promotors: W. Jiskoot; G.J. Witkamp, Co-promotor: M.R. Nejadnik
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The role and analysis of molecular systems in electrocatalysis
Molecular complexes can be used as electrocatalysts for oxygen reduction, water oxidation, and/or hydrogen peroxide production.
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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Distance-based analysis of dynamical systems and time series by optimal transport
Promotor: S.M. Verduyn Lunel
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Enriching official economic statistics using data-driven modelling techniques
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'.
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SAPPAO - Optimizing the flight times of airplanes using data science
Met het SAPPAO-project willen we de voorspelling van geplande vluchten nauwkeuriger en betrouwbaarder maken. De volledige naam van het project is ‘A Systems Approach towards Data Mining and Prediction in Airlines Operations’.
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Functional analysis of agrobacterium tumefaciens virulence protein VirD5
Supervisor: P.J.J. Hooykaas
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A recipe for desert: analysis of an extended Klausmeier model
Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk
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Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
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DAMIOSO - data mining in de grote datavolumes van simulatie-output
Moderne computergestuurde simulatietools die diverse industrieën gebruiken, produceren gigabytes aan data. Maar momenteel kost het dagen of zelfs weken om die gegevens te verwerken. Om zo goed mogelijk gebruik te maken van al deze data, ontwikkelt het DAMIOSO-project algoritmen en middelen om deze enorme…
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Statistics & Data Science (MSc)
De masteropleiding Statistics & Data Science is een tweejarige master waarbij een diep doorgronde introductie wordt gelegd aan de algemene filosofie en methodologie van statistische modellen, statistisch modelleren, data analyse en data science, met de voornaamste focus op toepassingen in levens- en…
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Sport Data Center
Sport Data Center