Literature DB >> 10628440

Multilevel modeling and model averaging.

S Greenland1.   

Abstract

Multilevel modeling, also known as hierarchical regression, generalizes ordinary regression modeling to allow explicit and flexible compromises between simple and complex models. This article provides an elementary introduction to multilevel modeling as a model-averaging technique. Model averaging provides an alternative to model selection, and it emphasizes the role of prior information in finding good models.

Mesh:

Year:  1999        PMID: 10628440

Source DB:  PubMed          Journal:  Scand J Work Environ Health        ISSN: 0355-3140            Impact factor:   5.024


  4 in total

1.  Integrative variable selection via Bayesian model uncertainty.

Authors:  M A Quintana; D V Conti
Journal:  Stat Med       Date:  2013-07-03       Impact factor: 2.373

2.  Identifiability, exchangeability and confounding revisited.

Authors:  Sander Greenland; James M Robins
Journal:  Epidemiol Perspect Innov       Date:  2009-09-04

Review 3.  Outcome modelling strategies in epidemiology: traditional methods and basic alternatives.

Authors:  Sander Greenland; Rhian Daniel; Neil Pearce
Journal:  Int J Epidemiol       Date:  2016-04-20       Impact factor: 7.196

4.  Multiple comparisons controversies are about context and costs, not frequentism versus Bayesianism.

Authors:  Sander Greenland; Albert Hofman
Journal:  Eur J Epidemiol       Date:  2019-09       Impact factor: 8.082

  4 in total

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