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Software


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.
- 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.
Modeling Dose-response Microarray Data in Early Drug Development Experiments Using R

- 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.
Modeling Infectious Disease Parameters Based on Serological and Social Contact Data

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

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last update: 19-04-2013