Deconinck, E., Xu, Q.S., Put, R., Coomans, D., Massart, D.L., and Vander Heyden, Y. (2005) Prediction of gastro-intestinal absorption using multivariate adaptive regression splines. Journal of Pharmaceutical and Biomedical Analysis, 39 (5). pp. 1021-1030.

Deconinck, E., Hancock, T., Coomans, D., Massart, D.L., and Vander Heyden, Y. (2005) Classification of drugs in absorption classes using the classification and regression trees (CART) methodology. Journal of Pharmaceutical and Biomedical Analysis, 39 (1-2). pp. 91-103.

Put, R., Perrin, C., Questier, F., Coomans, D., Massart, D.L., and Vander Heyden, Y. (2003) Classification and regression tree analysis for molecular descriptor selection and retention prediction in chromatographic quantitative structure–retention relationship studies. Journal of Chromatography A, 988 (2). pp. 261-276.

Adams, E., Coomans, D., Smeyers-Verbeke, J., and Massart, D.L. (2002) Non-linear mixed effects models for the evaluation of dissolution profiles. International Journal of Pharmaceutics, 240 (1-2). pp. 37-53.

Adams, E., Coomans, D., Smeyers-Verbeke, J., and Massart, D.L. (2001) Application of linear mixed effects models to the evaluation of dissolution profiles. International Journal of Pharmaceutics, 226 (1-2). pp. 107-125.

Kuttatharmmakul, S., Massart, D.L., Coomans, D., and Smeyers-Verbeke, J. (2001) Comparison of methods for the estimation of statistical parameters of censored data. Analytica Chimica Acta, 441 (2). pp. 215-229.

Kuttatharmmakul, S., Smeyers-Verbeke, J., Massart, D.L., Coomans, D., and Noack, S. (2000) The mean and standard deviation of data, some of which are below the detection limit: An introduction to maximum likelihood estimation. Trends in Analytical Chemistry, 19 (4). pp. 215-222.

Wu, W., Mallet, Y., Walczak, B., Penninckx, W., Massart, D.L., Heuerding, S., and Erni, F. (1996) Comparison of regularized discriminant analysis linear discriminant analysis and quadratic discriminant analysis applied to NIR data. Analytica Chimica Acta, 329 (3). pp. 257-265.