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Literature DB >> 10750618

Principles of multilevel modelling.

Abstract

BACKGROUND: 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.

Mesh：

Year: 2000 PMID： 10750618 DOI： 10.1093/ije/29.1.158

Source DB: PubMed Journal: Int J Epidemiol ISSN： 0300-5771 Impact factor: 7.196

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Cited

122 in total

1. Mortality control charts for comparing performance of surgical units: validation study using hospital mortality data.

Authors: Paris P Tekkis; Peter McCulloch; Adrian C Steger; Irving S Benjamin; Jan D Poloniecki
Journal: BMJ Date: 2003-04-12

2. Estimating and reporting on the quality of inpatient stroke care by Veterans Health Administration Medical Centers.

Authors: Greg Arling; Mathew Reeves; Joseph Ross; Linda S Williams; Salomeh Keyhani; Neale Chumbler; Michael S Phipps; Christianne Roumie; Laura J Myers; Amanda H Salanitro; Diana L Ordin; Jennifer Myers; Dawn M Bravata
Journal: Circ Cardiovasc Qual Outcomes Date: 2011-12-06

Principles of multilevel modelling.

1. Mortality control charts for comparing performance of surgical units: validation study using hospital mortality data.

2. Estimating and reporting on the quality of inpatient stroke care by Veterans Health Administration Medical Centers.

3. Hierarchical modeling of linkage disequilibrium: genetic structure and spatial relations.

4. HIV and population dynamics: a general model and maximum-likelihood standards for east Africa.

5. Integrative assessment of multiple pesticides as risk factors for non-Hodgkin's lymphoma among men.

6. Shrinkage estimators for a composite measure of quality conceptualized as a formative construct.

Review 7. Genomic similarity and kernel methods I: advancements by building on mathematical and statistical foundations.

8. Composite Measures of Health Care Provider Performance: A Description of Approaches.

9. An Agent-Based Model of School Closing in Under-Vacccinated Communities During Measles Outbreaks.

10. Replication of breast cancer susceptibility loci in whites and African Americans using a Bayesian approach.