Overzicht groepsoverschrijdende / interuniversitaire instituten
Cluster analysis, principal component analysis and exploratory factor analysis with SAS, SPSS and R
Multivariate data consist of observations on two or more variables for each individual or unit.
The variables will be generally correlated, and a variety of techniques are available to analyse these data.
The objective of cluster analysis is to form groups of observations such that each group is as homogeneous as possible with respect to certain characteristics. The groups are as different as possible.
Principal component analysis is one of the popular tools to summarize quantitative multivariate data .
Computer vision with R
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Fundamental Statistical Methods
This basic course in statistics emphasizes on selecting the appropriate statistical method and drawing the right conclusions from the obtained results. Mathematical details will be kept to a minimum. The emphasis will be on understanding the concepts and on practical applications. The adequate use of basis statistical summaries (measures of central tendency, measures of dispersion, box-plots,...) will be illustrated. The foundations of confidence intervals and of testing hypotheses will be dealt with.
Text mining with R
This course is a hands-on course covering the use of text mining tools for the purpose of data analysis. It covers basic text handling, natural language engineering and statistical modelling on top of textual data.
Introduction to the analysis of contingency tables
In this course, chi-square tests and association measures are used to identify if there is significant association in contingency tables and to determine how strong this association is. By use of examples, it is illustrated that exact tests are necessary in certain situations. There is enough time to practice with SAS Eguide, SPSS and R.
The course will provide an introduction to the issues raised by missing data and it will illustrate the shortcomings of ad-hoc methods like deletion, recoding, complete cases for 'handling' missing data. Methods like multiple imputation, inverse probability weighting and likelihood procedures for statistical analysis with missing data will be discussed and contrasted. Other topics include some accessible methods for exploring the sensitivity of inference to the missing at random assumption.
Economische contexten in wiskundelessen
Wiskunde wordt in allerlei disciplines gebruikt. Economie is een van die disciplines. Economische toepassingen zijn echter nog niet sterk doorgedrongen in wiskundelessen. Toch zijn er heel wat leerlingen die in het secundair onderwijs een economisch getinte studierichting volgen en dus al in zekere mate vertrouwd zijn met economie. In deze workshop maak je kennis met een aantal economische toepassingen.
interRAI Mental health congres
interRAI is a collaborative network of researchers in over thirty countries committed to improving care for persons who are disabled or medically complex. The consortium strives to promote evidence-informed clinical practice and policy decision making through the collection and interpretation of high quality data about the characteristics and outcomes of persons served across a variety of health and social services settings.
Nederlands voor anderstaligen
Nederlands voor anderstaligen voor toekomstige studenten of hoogopgeleiden.
Van beginners over intermediair tot gevorderden.
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