In the nineties, numerous authors proposed the use of Multilevel Models in effectiveness studies. However, this approach has been strongly criticized. Cluster-Weighted Modeling (CWM) is a flexible statistical framework, which is based on weighted combinations of local models. While Multilevel Models provide rankings of the institutions, in the CWM approach many models of effectiveness are estimated, each of them being valid for a certain subpopulation of users
Minotti, S. (2011). Some Notes on the Applicability of Cluster-Weighted Modeling in Effectiveness Studies. In S. Ingrassia, R. Rocci, M. Vichi (a cura di), New Perspectives in Statistical Modeling and Data Analysis (pp. 57-64). Berlin, Heidelberg : Springer [10.1007/978-3-642-11362-5_7].
Some Notes on the Applicability of Cluster-Weighted Modeling in Effectiveness Studies
MINOTTI, SIMONA CATERINA
2011
Abstract
In the nineties, numerous authors proposed the use of Multilevel Models in effectiveness studies. However, this approach has been strongly criticized. Cluster-Weighted Modeling (CWM) is a flexible statistical framework, which is based on weighted combinations of local models. While Multilevel Models provide rankings of the institutions, in the CWM approach many models of effectiveness are estimated, each of them being valid for a certain subpopulation of usersI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.