 | 2012 |
| 15 |  | An Creemers,
Marc Aerts,
Niel Hens,
Geert Molenberghs:
A nonparametric approach to weighted estimating equations for regression analysis with missing covariates.
Computational Statistics & Data Analysis 56(1): 100-113 (2012) |
| 14 |  | Jan Luts,
Geert Molenberghs,
Geert Verbeke,
Sabine Van Huffel,
Johan A. K. Suykens:
A mixed effects least squares support vector machine model for classification of longitudinal data.
Computational Statistics & Data Analysis 56(3): 611-628 (2012) |
| 13 |  | Samuel Iddi,
Geert Molenberghs:
A combined overdispersed and marginalized multilevel model.
Computational Statistics & Data Analysis 56(6): 1944-1951 (2012) |
| 2011 |
| 12 |  | Cristina Sotto,
Caroline Beunckens,
Geert Molenberghs,
Michael G. Kenward:
MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness.
Computational Statistics & Data Analysis 55(1): 301-311 (2011) |
| 11 |  | Assam Pryseley,
Clotaire Tchonlafi,
Geert Verbeke,
Geert Molenberghs:
Estimating negative variance components from Gaussian and non-Gaussian data: A mixed models approach.
Computational Statistics & Data Analysis 55(2): 1071-1085 (2011) |
| 2010 |
| 10 |  | Geert Molenberghs,
Michael G. Kenward:
Semi-parametric marginal models for hierarchical data and their corresponding full models.
Computational Statistics & Data Analysis 54(2): 585-597 (2010) |
| 9 |  | Assam Pryseley,
Abel Tilahun,
Ariel Alonso,
Geert Molenberghs:
Using earlier measures in a longitudinal sequence as a potential surrogate for a later one.
Computational Statistics & Data Analysis 54(5): 1342-1354 (2010) |
| 2008 |
| 8 |  | Caroline Beunckens,
Cristina Sotto,
Geert Molenberghs:
A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data.
Computational Statistics & Data Analysis 52(3): 1533-1548 (2008) |
| 7 |  | Ariel Alonso,
S. Litière,
Geert Molenberghs:
A family of tests to detect misspecifications in the random-effects structure of generalized linear mixed models.
Computational Statistics & Data Analysis 52(9): 4474-4486 (2008) |
| 2007 |
| 6 |  | Abel Tilahun,
Assam Pryseley,
Ariel Alonso,
Geert Molenberghs:
Flexible surrogate marker evaluation from several randomized clinical trials with continuous endpoints, using R and SAS.
Computational Statistics & Data Analysis 51(9): 4152-4163 (2007) |
| 2006 |
| 5 |  | Ivy Jansen,
Niel Hens,
Geert Molenberghs,
Marc Aerts,
Geert Verbeke,
Michael G. Kenward:
The nature of sensitivity in monotone missing not at random models.
Computational Statistics & Data Analysis 50(3): 830-858 (2006) |
| 4 |  | Christel Faes,
Helena Geys,
Marc Aerts,
Geert Molenberghs:
A hierarchical modeling approach for risk assessment in developmental toxicity studies.
Computational Statistics & Data Analysis 51(3): 1848-1861 (2006) |
| 2005 |
| 3 |  | Niel Hens,
Marc Aerts,
Geert Molenberghs,
Herbert Thijs,
Geert Verbeke:
Kernel weighted influence measures.
Computational Statistics & Data Analysis 48(3): 467-487 (2005) |
| 2004 |
| 2 |  | Didier Renard,
Geert Molenberghs,
Helena Geys:
A pairwise likelihood approach to estimation in multilevel probit models.
Computational Statistics & Data Analysis 44(4): 649-667 (2004) |
| 1 |  | José Cortiñas Abrahantes,
Geert Molenberghs,
Tomasz Burzykowski,
Ziv Shkedy,
Ariel Alonso Abad,
Didier Renard:
Choice of units of analysis and modeling strategies in multilevel hierarchical models.
Computational Statistics & Data Analysis 47(3): 537-563 (2004) |