Content available in repository
Content available in repository
Organisation profile
Introduction / mission
The Statistics group develops and compares data-analytical methods for analyzing and sampling complex structured correlated data sets. It includes parameter estimation, model fitting, latent variable models, mixed models, missing data, statistical process control, survival & reliability theory, time series analysis, and statistical learning methods.
One of the central themes is the analysis of high-dimensional temporal data sets and other large data sets. The group actively explores new research lines in Data Science and maintains many strong ties with industry, including biopharmaceutical companies, chemical industry, medical centers and international research institutes.
Highlighted phrase
The Statistics group develops and compares data-analytical methods for analyzing and sampling complex structured correlated data sets.
Organisation profile
Success stories
Framingham Heart Study A long-term longitudinal data set on more than 5000 participants (started at 1948) has been brought to the TU/e to collaborate with Boston University on new statistical methods.
Strong collaboration with the Academic partners of Maelstrom Research a leading international institute on harmonization of data from multiple cohort studies.
Industrial collaboration with pharmaceutical industry on validation and implementation of rapid microbiological methods to test medicinal products and processes.
Continuous Personal Health as part of the Philips flagship Data Science , is currently developing new methods for monitoring heart characteristics and sleep.
We are leading a Big Data & Reliability Platform together with industrial partners.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Statistics is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Osama Almalik, MSc
- Mathematics and Computer Science, Statistics - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
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Pieta C. IJzerman-Boon
- Mathematics and Computer Science, Statistics - University Researcher
Person: OWP : University Teacher / Researcher
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Piet Daas
- Mathematics and Computer Science,
- Mathematics and Computer Science, Statistics - Full Professor
Person: HGL : Professor
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An Exploration of Methods to Resolve Inconsistent Self-Reporting of Chronic Conditions and Impact on Multimorbidity in the Canadian Longitudinal Study on Aging
Andreacchi, A. T., Brini, A., Van den Heuvel, E., Muniz-Terrera, G., Mayhew, A., St. John, P., Stirland, L. E. & Griffith, L. E. (Corresponding author), Jan 2025, In: Journal of Aging and Health. 37, 1-2, p. 40-53 14 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Downloads (Pure) -
Discrete Imprecise Copulas
Košir, T. & Perrone, E. (Corresponding author), Mar 2025, In: Fuzzy Sets and Systems. 504, 20 p., 109251.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Downloads (Pure) -
A call for caution when using network methods to study multimorbidity: an illustration using data from the Canadian Longitudinal Study on Aging
Griffith, L. E. (Corresponding author), Brini, A., Muniz-Terrera, G., St. John, P. D., Stirland, L. E., Mayhew, A., Oyarzún, D. & van den Heuvel, E., Aug 2024, In: Journal of Clinical Epidemiology. 172, 11 p., 111435.Research output: Contribution to journal › Article › Academic › peer-review
Datasets
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Additional file 1 of Comparison of analysis methods and design choices for treatment-by-period interaction in unidirectional switch designs: a simulation study
Zhan, Z. (Creator), de Bock, G. H. (Creator) & van den Heuvel, E. R. (Creator), Figshare, 18 Nov 2022
DOI: 10.6084/m9.figshare.21582011, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Comparison_of_analysis_methods_and_design_choices_for_treatment-by-period_interaction_in_unidirectional_switch_designs_a_simulation_study/21582011
Dataset
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Anomaly Detection for a Large Number of Streams: A Permutation-Based Higher Criticism Approach
Stoepker, I. V. (Creator), Castro, R. M. (Creator), Arias-Castro, E. (Creator) & van den Heuvel, E. (Creator), Taylor and Francis Ltd., 16 Nov 2022
DOI: 10.6084/m9.figshare.21191367
Dataset
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Software for "Increasing efficacy of contact-tracing applications by user referrals and stricter quarantining"
Goldberg, L. A. (Contributor), Jorritsma, J. (Contributor), Komjáthy, J. (Contributor) & Lapinskas, J. (Contributor), Zenodo, 9 Apr 2021
Dataset
Activities
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Leveraging Machine Learning for Official Statistics: Methodology and Application
Puts, M. J. H. (Speaker) & Daas, P. (Speaker)
3 Apr 2024Activity: Talk or presentation types › Keynote talk › Scientific
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Identifying different types of companies via their website texts.
Daas, P. (Speaker)
10 Sept 2021Activity: Talk or presentation types › Keynote talk › Scientific
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Machine Learning from a Statistical Perspective
Puts, M. (Speaker) & Daas, P. (Speaker)
11 May 2021Activity: Talk or presentation types › Keynote talk › Professional
Press/Media
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Boston University School of Public Health: Replacing the Term 'Race' in Risk Predictions for Heart Attacks Among Black Patients
4/02/22
1 item of Media coverage
Press/Media: Expert Comment
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Improving Risk Prediction for Chronic Disease Management
28/12/21
1 item of Media coverage
Press/Media: Expert Comment
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Study suggests replacing the term ‘race’ with underlying factors that increase risk for heart attacks, strokes
22/12/21
1 item of Media coverage
Press/Media: Expert Comment
Student theses
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A comparative study of methods to estimate and test power-law tails
Schoemaker, M. T. A. (Author), Castro, R. M. (Supervisor 1) & van der Hoorn, W. L. F. (Supervisor 2), 6 Jul 2023Student thesis: Bachelor
File -
A Cramér-von-Mises Based Dip Test for Multimodality
Reinhoudt, S. (Author), Castro, R. M. (Supervisor 1) & Stoepker, I. V. (Supervisor 1), 29 Jun 2022Student thesis: Bachelor
File -
Adaptive label selection for online prediction with expert advice
van Eersel, M. (Author), Castro, R. M. (Supervisor 1), 11 May 2020Student thesis: Master
File