Principles of multilevel modelling - PubMed (original) (raw)
Review
Principles of multilevel modelling
S Greenland. Int J Epidemiol. 2000 Feb.
Abstract
Multilevel modelling, also known as hierarchical regression, generalizes ordinary regression modelling to distinguish multiple levels of information in a model. Use of multiple levels gives rise to an enormous range of statistical benefits. To aid in understanding these benefits, this article provides an elementary introduction to the conceptual basis for multilevel modelling, beginning with classical frequentist, Bayes, and empirical-Bayes techniques as special cases. The article focuses on the role of multilevel averaging ('shrinkage') in the reduction of estimation error, and the role of prior information in finding good averages.
Similar articles
- Multilevel modeling and model averaging.
Greenland S. Greenland S. Scand J Work Environ Health. 1999;25 Suppl 4:43-8. Scand J Work Environ Health. 1999. PMID: 10628440 Review. - Bayesian perspectives for epidemiological research. II. Regression analysis.
Greenland S. Greenland S. Int J Epidemiol. 2007 Feb;36(1):195-202. doi: 10.1093/ije/dyl289. Epub 2007 Feb 28. Int J Epidemiol. 2007. PMID: 17329317 Review. - Multilevel modelling of medical data.
Goldstein H, Browne W, Rasbash J. Goldstein H, et al. Stat Med. 2002 Nov 15;21(21):3291-315. doi: 10.1002/sim.1264. Stat Med. 2002. PMID: 12375305 Review. - Simulation study of hierarchical regression.
Witte JS, Greenland S. Witte JS, et al. Stat Med. 1996 Jun 15;15(11):1161-70. doi: 10.1002/(SICI)1097-0258(19960615)15:11<1161::AID-SIM221>3.0.CO;2-7. Stat Med. 1996. PMID: 8804145
Cited by
- Considerations and targeted approaches to identifying bad actors in exposure mixtures.
Keil AP, O'Brien KM. Keil AP, et al. Stat Biosci. 2024 Jun;16(2):459-481. doi: 10.1007/s12561-023-09409-2. Epub 2023 Dec 12. Stat Biosci. 2024. PMID: 39220676 - Use of oral moist tobacco (snus) in puberty and its association with asthma in the population-based RHINESSA study.
López-Cervantes JP, Schlünssen V, Senaratna C, Accordini S, Callejas FJ, Franklin KA, Holm M, Jogi NO, Malinovschi A, Oudin A, Sigsgaard T, Thorarinsdottir EH, Janson C, Bertelsen RJ, Svanes C. López-Cervantes JP, et al. BMJ Open Respir Res. 2024 Jul 22;11(1):e002401. doi: 10.1136/bmjresp-2024-002401. BMJ Open Respir Res. 2024. PMID: 39038916 Free PMC article. - Clustering of health behaviors and their associations with cardiometabolic risk factors among adults at high risk for type 2 diabetes in India: A latent class analysis.
de Mello GT, Thirunavukkarasu S, Jeemon P, Thankappan KR, Oldenburg B, Cao Y. de Mello GT, et al. J Diabetes. 2024 May;16(5):e13550. doi: 10.1111/1753-0407.13550. J Diabetes. 2024. PMID: 38708436 Free PMC article. - Urban environment and health: a cross-sectional multiregional project based on population health surveys in Spain (DAS-EP project) - study protocol.
Bereziartua A, Cabrera-León A, Subiza-Pérez M, García-Baquero G, Delís Gomez S, Ballester F, Estarlich M, Merelles A, Esplugues A, Irles MA, Barona C, Mas R, Font-Ribera L, Bartoll X, Pérez K, Oliveras L, Binter AC, Daponte A, García Mochon L, García Cortés H, Sánchez-Cantalejo Garrido MDC, Lacasaña M, Cáceres R, Rueda M, Saez M, Lertxundi A. Bereziartua A, et al. BMJ Open. 2024 Mar 29;14(3):e074252. doi: 10.1136/bmjopen-2023-074252. BMJ Open. 2024. PMID: 38553060 Free PMC article. - IMproving psYchosocial adjustment to Traumatic Brain Injury from acute to chronic injury through development and evaluation of the myTBI online psychoeducation platform: protocol for a mixed-methods study.
Troeung L, Sarunga Raja TL, Mann G, Wagland J, MacLeod C, Martini A. Troeung L, et al. BMJ Open. 2024 Mar 19;14(3):e080030. doi: 10.1136/bmjopen-2023-080030. BMJ Open. 2024. PMID: 38508623 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources