The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Multilevel modelling of medical data
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.
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Citations
Cites
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Method
Cited by
Hubbard (2010) · doi:10.1097/ede.0b013e3181caeb90 · Cited by 1,139
Design and analysis of group-randomized trials: a review of recent methodological developments
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. Care left undone during nursing shifts: associations with workload and perceived quality of care.
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Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration
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Making 'Null Effects' Informative: Statistical Techniques and Inferential Frameworks
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Metadata
- Authors
- Goldstein, H., Browne, W., & Rasbash, J.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2002-10-07
- Volume
- 21
- Issue
- 21
- Pages
- 3291-3315
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2131345225
- Cited by
- 388
- References
- 4
- FWCI
- 12.96
- Type
- journal article
- Language
- en
- Open access
- closed
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