| A comparison of criteria to design efficient choice experiments R Kessels, P Goos, M Vandebroek Journal of Marketing Research 43 (3), 409-419, 2006 | 291 | 2006 |
| D-optimal split-plot designs with given numbers and sizes of whole plots P Goos, M Vanderbroek Technometrics 45 (3), 235-245, 2003 | 129 | 2003 |
| Models and optimal designs for conjoint choice experiments including a no-choice option B Vermeulen, P Goos, M Vandebroek International Journal of Research in Marketing 25 (2), 94-103, 2008 | 123 | 2008 |
| Optimal split-plot designs P Goos, M Vandebroek Journal of Quality Technology 33 (4), 436-450, 2001 | 120 | 2001 |
| An efficient algorithm for constructing Bayesian optimal choice designs R Kessels, B Jones, P Goos, M Vandebroek Journal of Business & Economic Statistics 27 (2), 279-291, 2009 | 108 | 2009 |
| Efficient conjoint choice designs in the presence of respondent heterogeneity J Yu, P Goos, M Vandebroek Marketing Science 28 (1), 122-135, 2009 | 94 | 2009 |
| The usefulness of Bayesian optimal designs for discrete choice experiments R Kessels, B Jones, P Goos, M Vandebroek Applied Stochastic Models in Business and Industry 27 (3), 173-188, 2011 | 91 | 2011 |
| Using the correct intervals for prediction: A tutorial on tolerance intervals for ordinary least-squares regression S De Gryze, I Langhans, M Vandebroek Chemometrics and intelligent laboratory systems 87 (2), 147-154, 2007 | 86 | 2007 |
| Outperforming completely randomized designs P Goos, M Vandebroek Journal of Quality Technology 36 (1), 12-26, 2004 | 85 | 2004 |
| D-optimal response surface designs in the presence of random block effects P Goos, M Vandebroek Computational statistics & data analysis 37 (4), 433-453, 2001 | 77 | 2001 |
| Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity J Yu, P Goos, M Vandebroek International Journal of Research in Marketing 28 (4), 378-388, 2011 | 64 | 2011 |
| Bayesian conjoint choice designs for measuring willingness to pay B Vermeulen, P Goos, R Scarpa, M Vandebroek Environmental and Resource Economics 48, 129-149, 2011 | 60 | 2011 |
| Recommendations on the use of Bayesian optimal designs for choice experiments R Kessels, B Jones, P Goos, M Vandebroek Quality and Reliability Engineering International 24 (6), 737-744, 2008 | 59 | 2008 |
| Practical inference from industrial split-plot designs P Goos, I Langhans, M Vandebroek Journal of Quality Technology 38 (2), 162-179, 2006 | 57 | 2006 |
| A mixed integer programming model for solving a layout problem in the fashion industry Z Degraeve, M Vandebroek Management Science 44 (3), 301-310, 1998 | 56 | 1998 |
| Effect of environmental and altruistic attitudes on willingness-to-pay for organic and fair trade coffee in Flanders L Maaya, M Meulders, N Surmont, M Vandebroek Sustainability 10 (12), 4496, 2018 | 55 | 2018 |
| The impact of the soccer schedule on TV viewership and stadium attendance: evidence from the Belgian Pro League C Wang, D Goossens, M Vandebroek Journal of Sports Economics 19 (1), 82-112, 2018 | 52 | 2018 |
| Generating optimal designs for discrete choice experiments in R: the idefix package F Traets, DG Sanchez, M Vandebroek Journal of Statistical Software 96, 1-41, 2020 | 49 | 2020 |
| Quantifying benefit-risk preferences for new medicines in rare disease patients and caregivers T Morel, S Aymé, D Cassiman, S Simoens, M Morgan, M Vandebroek Orphanet journal of rare diseases 11, 1-12, 2016 | 48 | 2016 |
| Bayesian estimation of mixed logit models: Selecting an appropriate prior for the covariance matrix D Akinc, M Vandebroek Journal of choice modelling 29, 133-151, 2018 | 43 | 2018 |
