The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Multilevel Models: Applications to Health Data
Abstract
This paper presents an introductory account of multilevel models, highlighting the potential benefits that may be gained by the use of these methods. It draws on recent applications in health services research that have appeared in the literature. Methodological advances in these statistical techniques have taken place in the field of education, where empirical studies have mainly been concerned with comparing pupil achievement across different schools by exploring the relationship between individual and institutional factors. Although recent widespread availability of suitable software packages has enabled other disciplines to adopt these methods, to date they have received little attention in the health services research literature (the investigation of effects of geographical areas on health being a possible exception) despite their obvious application in many areas of current interest. Key areas that could benefit greatly from these techniques include the exploration of variations in clinical practice, comparisons of institutional performance and resource allocation.
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Cites
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League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional Performance
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Statistical Modelling Issues in School Effectiveness Studies
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Cited by
Consultation length in general practice: cross sectional study in six European countries
Deveugele, M., Derese, A., van den Brink-Muinen, A., Bensing, J., & De Maeseneer, J. (2002) · BMJ · doi:10.1136/bmj.325.7362.472 · Cited by 515
Social capital and mental health
McKenzie, K. (2018) · Oxford Textbook of Public Mental Health · doi:10.1093/med/9780198792994.003.0014 · Cited by 448
Social capital and mental health
McKenzie, K., Whitley, R., & Weich, S. (2002) · British Journal of Psychiatry · doi:10.1192/bjp.181.4.280 · Cited by 434
Experimental and quasi-experimental designs for evaluating guideline implementation strategies
Grimshaw, J. (2000) · Family Practice · doi:10.1093/fampra/17.suppl_1.s11 · Cited by 382
Statistical assessment of the learning curves of health technologies
Ramsay, C. R., Grant, A. M., Wallace, S. A., Garthwaite, P. H., Monk, A. F., & Russell, I. T. (2001) · Health Technology Assessment · doi:10.3310/hta5120 · Cited by 353
Metadata
- Authors
- Rice, N., & Leyland, A.
- Venue
- Journal of Health Services Research & Policy
- Publisher
- SAGE Publications
- Published
- 1996-07
- Volume
- 1
- Issue
- 3
- Pages
- 154-164
- ISSN
- 1355-8196 (ISSN-L)
- 1758-1060
- OpenAlex
- W2005855690
- Cited by
- 272
- References
- 52
- FWCI
- 13.46
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
