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Centre for Statistics : [1776]

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The Center for Statistics has an international reputation in statistical research (both theoretical and applied). In the domain of mathematical statistics, research is carried out in a.o. the following fields: bootstrap methods, smoothing techniques, censored data, asymptotic theory. Research in applied statistics focuses on longitudinal data analysis, clustered data, missing data, multivariate methods, clinical trials, epidemiological studies. The fundamental research in mathematical and applied statistics is the corner-stone for a sound analysis of real-world problems, coming from a variety of fields; Examples are: registration and analysis of data from psychiatry, public health surveys, clinical trials (cancer, AIDS, hypertension,...), epidemiological research, risk factors when exposed to toxic substances in the environment.

The Center for Statistics has an international reputation in statistical research (both theoretical and applied). In the domain of mathematical statistics, research is carried out in a.o. the following fields: bootstrap methods, smoothing techniques, censored data, asymptotic theory. Research in applied statistics focuses on longitudinal data analysis, clustered data, missing data, multivariate methods, clinical trials, epidemiological studies. The fundamental research in mathematical and applied statistics is the corner-stone for a sound analysis of real-world problems, coming from a variety of fields; Examples are: registration and analysis of data from psychiatry, public health surveys, clinical trials (cancer, AIDS, hypertension,...), epidemiological research, risk factors when exposed to toxic substances in the environment.

Recent Submissions

Cramer-type estimates for the probability of ruin

Discussion of Diggle, P. and Kenward, M. G.: 'Informative drop-out in longitudinal data analysis'

Discussion of Copas, J. B. and Li, H. G.: 'Inference for non-random samples'

Discussion of Diggle, P. and Al Wasel, I.: 'Spectral analysis of replicated biomedical time series'

Discussion of Fitzmaurice, G. M., Heath, A. F. and Cox, D. R.: 'Detecting overdispersion in large-scale surveys: application to a study of education and social class in Britain'

 

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