Random-effects models for multivariate repeated measures (2007)
Fieuws, S., MOLENBERGHS, Geert, Verbeke, G.
Mixed models are widely used for the analysis of one repeatedly measured outcome. If more than one outcome is present, a mixed model can be used for each one. These separate models can be tied...
Random-effects models for multivariate repeated measures (2007)
Fieuws, S., Verbeke, G., MOLENBERGHS, Geert
Mixed models are widely used for the analysis of one repeatedly measured outcome. If more than one outcome is present, a mixed model can be used for each one. These separate models can be tied...
Pairwise fitting of mixed models for the joint modeling of multivariate longitudinal profiles (2006)
A mixed model is a flexible tool for joint modeling purposes, especially when the gathered data are unbalanced. However, computational problems due to the dimension of the joint covariance matrix of...
High dimensional multivariate mixed models for binary questionnaire data (2006)
Fieuws, S, Boen, F, Delecluse, C
Questionnaires that are used to measure the effect of an intervention often consist of different sets of items, each set possibly measuring another concept. Mixed models with set-specific random...
VERBEKE, Geert, Fieuws, S, LESAFFRE, Emmanuel, Kato, B.S., Foreman, M.D., Broos, P.L.O., ...
The main advantage of longitudinal studies is that they can distinguish changes over time within individuals (longitudinal effects) from differences between subjects at the start of the study...
Pairwise fitting of mixed models for the joint modeling of multivariate longitudinal profiles (2006)
A mixed model is a flexible tool for joint modeling purposes, especially when the gathered data are unbalanced. However, computational problems due to the dimension of the joint covariance matrix of...
High dimensional multivariate mixed models for binary questionnaire data (2006)
Fieuws, S, Boen, F, Delecluse, C
Questionnaires that are used to measure the effect of an intervention often consist of different sets of items, each set possibly measuring another concept. Mixed models with set-specific random...
Fieuws, S, Kato, B.S., Foreman, M.D., Broos, P.L.O., ...
The main advantage of longitudinal studies is that they can distinguish changes over time within individuals (longitudinal effects) from differences between subjects at the start of the study...
Pairwise fitting of mixed models for the joint modeling of multivariate longitudinal profiles (2006)
A mixed model is a flexible tool for joint modeling purposes, especially when the gathered data are unbalanced. However, computational problems due to the dimension of the joint covariance matrix of...
High dimensional multivariate mixed models for binary questionnaire data (2006)
Fieuws, S, VERBEKE, Geert, Boen, F, Delecluse, C
Questionnaires that are used to measure the effect of an intervention often consist of different sets of items, each set possibly measuring another concept. Mixed models with set-specific random...
VERBEKE, Geert, Fieuws, S, LESAFFRE, Emmanuel, Kato, B.S., Foreman, M.D., Broos, P.L.O., ...
The main advantage of longitudinal studies is that they can distinguish changes over time within individuals (longitudinal effects) from differences between subjects at the start of the study...
Fieuws, S, Kato, B S, Foreman, M D, ...
22. Miscellanea: 22.8 Quality Assessment of Oral Anticoagulation in Patients with AF (2005)
Claes, N., Buntinx, F., Vijgen, J., Arnout, J., Vermylen, J., Fieuws, S., ...
Objective In Belgium oral anticoagulation therapy is mainly supervised by general practitioners (gps). The aim of the study is to evaluate the quality of management of oral anticoagulation by gps in...
G. Verbeke, S. Fieuws, E. Lesaffre, B. S. Kato, M. D. Foreman, ...
The main advantage of longitudinal studies is that they can distinguish changes over time within individuals (longitudinal effects) from differences between subjects at the start of the study...