| Literature DB >> 12375305 |
Harvey Goldstein1, William Browne, Jon Rasbash.
Abstract
This tutorial presents an overview of multilevel or hierarchical data modelling and its applications in medicine. A description of the basic model for nested data is given and it is shown how this can be extended to fit flexible models for repeated measures data and more complex structures involving cross-classifications and multiple membership patterns within the software package MLwiN. A variety of response types are covered and both frequentist and Bayesian estimation methods are described. Copyright 2002 John Wiley & Sons, Ltd.Mesh:
Year: 2002 PMID: 12375305 DOI: 10.1002/sim.1264
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373