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Technical reports

There are currently no technical reports available.

Supplementary materials



Software related to publications

Several SAS macros/example programs, R packages and WinBugs programs have been written in the process of our research activities. They can be used free of charge. These macros/packages are distributed in the hope that they will be useful, but although thoroughly tested, are WITHOUT ANY WARRANTY.

Macros/packages are available in the following areas:


Software related to books

- Verbeke, G. and Molenberghs, G. (1997) Linear Mixed Models in Practice: A SAS-Oriented Approach. Lecture Notes in Statistics 126. New York: Springer.
- Verbeke, G. and Molenberghs, G. (2000) Linear Mixed Models for Longitudinal Data. New York: Springer-Verlag.
- Molenberghs, G. and Verbeke, G. (2005) Models for Discrete Longitudinal Data. New York: Springer.
- Molenberghs, G. and Kenward, M.G. (2007) Missing Data in Clinical Studies. Chichester: John Wiley & Sons.

  • Datasets
      - demo2: exercise bike data (missing data, 1997)
      - blood: blood pressures (1997 and 2000, case studies)
      - cellprol: (1997, chapter 2)
      - crosover: (1997, chapter 2)
      - growthax: Growth data set used in incomplete data chapters (1997 and 2000)
      - growthgv: Growth curves of girls (case study in 1997; heterogeneity models in 2000)
      - mast01: Mastitis in dairy cattle (2000, sensitivity analysis)
      - milk: milk protein contents (2000, sensitivity analysis)
      - multicnt: (1997, chapter 2)
      - multimpv8: Multiple Imputation
      - press: variceal pressures (1997, case studies)
      - quality: (1997, chapter 2)
      - rats01: rats data (2000, running example)

  • Macros and Programs

- Lin, D.; Shkedy, Z.; Yekutieli, D.; Amaratunga, D.; Bijnens, L. (Eds.) (2012) Modeling Dose-response Microarray Data in Early Drug Development Experiments Using R: Order Restricted Analysis of Microarray Data. Heidelberg: Springer.

- Hens, N.; Shkedy, Z.; Aerts, M.; Faes, C.; Van Damme, P.; Beutels, P. (2012) Modeling Infectious Disease Parameters Based on Serological and Social Contact Data: A Modern Statistical Perspective. New York: Springer.

- Galecki, A.; Burzykowski. T; (2013) Linear Mixed-Effects Models Using R: A Step-by-Step Approach. New York: Springer.

- Amaratunga, D.; Cabrera, J.; Shkedy, Z. (2014) Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Wiley Series in Probability and Statistics (2nd edition).  New York: Wiley.

- Kasim, A.; Shkedy, Z.; Kaiser, S.; Hochreiter, S.; Talloen, W. (2016) Applied Biclustering Methods for Big and High Dimensional Data Using R. Chapman & Hall/CRC Biostatistics Series"

Book BiClustering

-Alonso, A., Bigirumurame, T., Burzykowski, T., Buyse, M., Molenberghs, G., Muchene, L., Perualila, N.J., Shkedy, Z., and Van der Elst, W. (2017). Applied Surrogate Endpoint Evaluation with SAS and R. Boca Raton: Chapman & Hall/CRC.

  • Last modified 07-02-2017