Master project at the statistics section at DTU Compute?

You can do a master project in statistics at DTU Compute with either a DTU Compute student background or with other backgrounds which lead you to a situation where data analysis/statistics/chemometrics has become an important topic for you!

OR you can do a bachelor project on a given topic, if you found the interest in statistics, and prefarably at the start of the bachelor project has at least one more statistics related course than the introductory one. (It could for instance be one or more of the courses 02411, 02441, 02418) 

Project with PBB as supervisor?

My personal research is focussed on applied statistics and multivariate data analysis/chemometrics in general, applications and developments within food science in general and sensory and consumer analysis (sensometrics) in particular. Also statistics in drug discovery and pharmacometrics has my attention. From a methodological viewpoint my interests are ranging from classical model based parametric statistics and design of experiments to more explorative multivariate data analysis and chemometrics. Mixed models (extensions of standard linear anova/regresssion type models) of various kinds also have my interest.

Project suggestions/ideas:

• Project with one of the major Danish pharmaceutical companies, e.g. Lundbeck, Novo Nordic.
• Probabilistic Multidimensional Scaling(MDS) for sensory and consumer data.
• Analysis of consumer preference data (Prefmap, L-PLS, LCRCR) (Potential partners: Danish Meat Research Institute, Chewtech, Arla )
• Churn analyser (Potential partner: Copenhagen IT company )
• Multiplicative mixed models for sensory profile data
• Replicated sensory difference and similarity tests
• Comparing some analysis strategies for repeated measurements based on recent R-packages
• Implementing some R shiny web applications based on recent R-packages

So, if anything cathes your interest, or if you have other ideas, please don't hesitate to contact me!

 

Project suggestions/ideas - NEW November 2016 Project Fair:

• Sensometrics projects
• Project "sensR in Sensometrics"
• Project with Bang andf Olufsen:Sensory profiling of high-end loudspeakers using rapid methods – statistical analysis
• Pharmacometrics projects
• Project "CV" in Pharmacometrics

Previous PBB supervised projects:

Diplom afgangsprojekt:

• Ida simonsen. Effekt af forskellige sensometriske metoder i forbindelse med analyse af sammenhængen mellem fedtsyresammensætningen og den sensoriske kvalitet af streaky bacon. Fall 2015.

Master theses

• Sofie P. Jensen (with Minh Haw Truong), Non-linear mixed models for sensory and consumer data, August 2015.
  
  
• Minh Haw Truong(with Sofie P. Jensen), Non-linear mixed models for sensory and consumer data, August 2015
  
  
• Analie Pascoe Perez. The use and development of scaling correction methods for Unilever Sensory Profile data.(With Unilever Research, Port Sunlight, UK), September 2012
  
  
• Sara Øster Brebbia. Application of text analytics and multivariate statistics for characterization of absorption enhancers, May 2012 (Industrial collaboration contract with Novo Nordic)
  
  
• Kadriye Kaplan. Multi-state models for late effects in childhood cancer survivors. (with Danish Cancer research), April 2012
  
  
• Thor Schutt Svane Nielsen. Statistical analyses of high dimensional microRNA data in relation to incidence and survival after cancer , April 2012 (with Danish Cancer research)
  
  
• Luise Cederkvist Kristiansen. Statistical analyses of familial aggregation of adverse outcomes, March 2012 (with Danish Cancer research).
  
  
• Lene Bjørg Cesar. Chemometric analyses of protein structure/function results, Sep 2011, (Industrial collaboration contract with Novozymes.)
  
  
• Nielsen, Rebecca Zachariae (with Davidsen, Charlotte Kampp) Describing hypoglycemic events using extensions of the Cox model. Feb. 2011 (Industrial collaboration contract with Novo Nordic.)
  
  
• Davidsen, Charlotte Kampp; (with Nielsen, Rebecca Zachariae) Describing hypoglycemic events using extensions of the Cox model. Feb. 2011 (Industrial collaboration contract with Novo Nordic.)
  
  
• Kristina Ranc, Statistical analysis of association between long-term exposure to air pollution and repeated hospitalizations for pneumonia, August 2011 (with Danish Cancer research)
  
  
• Sophie Birot, Agro Campus Ouest, Rennes: Developing an approach for the analysis of preference data (Sep 2011).
  
  
• C. Hollensen, Meta analysis of the effect of modern drugs in Rheumatoid Arthritis. (2009)(Collaboration with Novo Nordic and Frederiksberg Hospital)
  
  
• M.P.Nøhr (with A. Tureczek.) Statistical learning in Search Engine Optimisation (SEO), 2009.
  
  
• A. Tureczek. (with M.P.Nøhr) Statistical learning in Search Engine Optimisation (SEO), 2009.
  
  
• P Le: Multivariate Analysis of Sensory Data, 2008 (Data from DTU Aqua)
  
  
• R.H.B. Christensen, Sensometrics: Thurstonian and Statistical Models, 2008 (Data from Unilever, Holland)
  
  
• K. F. Thuesen, Analysis of Ranked Preference Data., 2007 (Data from Bang & Olufsen)
  
  
• Y. He, Bagging and boosting classifiers for in silico prediction of permeability of drug candidates., 2007 (Data from Novo Nordic)
  
  
• C. Dehlendorf, Longitudinal Data Analysis of Asthma and Wheezing in Children, 2007 (PerBB Co-supervising)
  
  
• Y. He, Bagging and boosting classifiers for in silico prediction of permeability of drug candidates., 2007 (Data from Novo Nordic)
  
  
• M. Su, In silico prediction of cytochrome P3A4 inhibition using new multivariate combining methods, 2007 (Data from Novo Nordic)
  
  
• W. Shengzhe, In silico Prediction of Inhibition of CYP1A2, 2006 (Data from Novo Nordic)
  
  
• L. Havgaard, Sample Error by Sample Collection of Samples for GrapeScan, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 (Industrial collboration contract with Foss Electric)