The CMM maintains reviews of some of the packages available for multilevel modelling. These reviews contain syntax for fitting a range of multilevel models to example datasets. If you want to see how ...
Multilevel Modelling is one of the basic techniques used in quantitative social science research for modelling data with complex hierarchical structures. The Multilevel Modelling research theme ...
To our knowledge, no previous study has examined state-level geographic variability and its predictors in clinical practice patterns to screen for prostate cancer in the United States. We used the ...
Statistical models are essential in research to investigate relationship between variables, make predictions, classify items, and identify latent structures in a data set. Statistical models can be ...
Grenoble, France, April 30, 2010-- System-On-Chip (SoC) are becoming more and more complex and their simulation takes ever longer. In order to optimize the tradeoff between accuracy and simulation ...
Journal of Peace Research, Vol. 52, No. 2 (March 2015), pp. 228-242 (15 pages) Third-party interventions have long been considered one of the most important events in civil war processes, affecting ...
This course is available on the MPhil/PhD in Health Policy and Health Economics and MPhil/PhD in Statistics. This course is available as an outside option to students on other programmes where ...
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