Prof.dr. Martijn P.F. Berger 

  Maastricht University - Department Methodology & Statistics 

 

Job Title	Professor in Methodology and Statistics
Full Time Equivalent	1,0 FTE
First name	Martijn
Gender	male
Lastname	Berger
Faculty	Faculty of Health Sciences - FHML
Address	P.O. Box 616, NL-6200 MD Maastricht.
Location	Peter Debyeplein 1, room B2.04
Phone	(+31)43-3882258
E-mail	martijn.berger(at)stat.unimaas.nl     [(at)=@ to block spam]
Photo
Curriculum vitae	click here

 

 

 

 

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Short Curriculum Vitae

Since 1995 Martijn P.F. Berger is full professor at the Department Methodology and Statistics of the Faculty of f Health Sciences, University of Maastricht, the Netherlands.

After his master degree study at the University of Leiden he was appointed assistent professor at the University of Tilburg, where he received his Ph.D. in 1985 with a thesis on the application of the generalized multivariate analysis of variance (MANOVA) model to time-structured data. His research mainly included investigations on (generalized) linear models applied to behavioral, social and medical sciences measurement problems, with special emphasis on longitudinal analysis of time structured data. In 1987 he was appointed associate professor at the University of Twente, Department of Educational Measurement and Data analysis. Here he performed research on optimal designs and item response theory (IRT) models. Especially the design problems around different achievement test forms were studied with optimal design methodology applied to item response theory models.

Recent research projects include optimal test and sampling designs, design problems in multilevel research and random-effects models and he has published various papers and book chapters on these topics.

He has a broad experience in teaching statistical methods and research methodology in bachelor, master and Ph.D courses, including summer courses. He also has a broad experience as statistical consultant for social, health and medical scientists. Finally, he has been member and chairman of various university, faculty and professional committee's, boards and editorial boards.

Key publications

 

Berger, M.P.F. (2005). Optimal designs for categorical variables.

    In B. Everitt & D. Howell (eds). Encyclopedia of Statistics in Behavioral Science. New York: Wiley & Sons

Berger, M.P.F. and Wong, W.K. (eds). (2005) Applied Optimal Designs,  New York: Wiley.

Ouwens, M.J.N.M., Tan, F.E.S. & Berger, M.P.F. (2005). A maximin

    criterion for the logistic random intercept model with covariates. Journal of Statistical Planning and Inference

Lima Passos, V. and Berger, M.P.F. (2004) Maximin calibration designs for

    the nominal response model: An empirical evaluation. Applied Psychological Measurement, 28, 1, 72-87.

Berger, M.P.F. and Tan, F.E.S. (2004) Robust designs for linear mixed

    effects models. Journal of the Royal Statistical Society, series C, 53, 4, 569-581.

Mellenbergh, G.J., Adèr, H.J., Baird, D.,  Berger, M.P.F., Cornell, J.E., Hagenaars, J.A.P., Molenaar, P.C.M. (2003) Conceptual issues of research  

    methodology for the behavioural, life, and social sciences. Journal of the Royal statistical Society, Series D, 52, 2, 211-218.

Moerbeek, M., Van Breukelen, G.J.P., & Berger, M.P.F. (2003). A comparison between traditional methods and multilevel regression for the analysis of

    multicenter intervention studies. Journal of Clinical Epidemiology. , 56, 341-350

Ouwens, M.J.N.M., Tan,  F.E.S., and Berger, M.P.F. (2002). Maximin D-

    optimal design for longitudinal mixed effects models, Biometrics, 58, p.735-741.

Berger, M.P.F., M.J.J.N. Ouwens &  Tan, F.E.S (2002) Robust designs for

    longitudinal mixed effects models. In: H.Yanai et al (eds) Advances in Psychometric Research, Springer Verlag, p.339-346.

Holman, R. and Berger, M.P.F. (2001). Optimal calibration designs for

    tests of polytomously scored items described by item response theory models. Journal of Educational and Behavioral Statistics,  26, 4, 361-380.

 

Last update 14-07-2006.