Literature DB >> 9466139

Multilevel models and health economics.

N Rice1, A Jones.   

Abstract

Multilevel analyses have become an accepted statistical technique in the field of education where over the past decade or so the methods have been developed to explore the relationships between pupil characteristics and the characteristics of the schools they attend. More recently, widespread use has extended to other social sciences and health research. However, to date, little use has been made of these techniques within the health economics literature. This paper presents an introductory account of multilevel models and describes some of the areas of health economics research that may benefit from their use.

Mesh:

Year:  1997        PMID: 9466139     DOI: 10.1002/(sici)1099-1050(199711)6:6<561::aid-hec288>3.0.co;2-x

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  30 in total

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Authors:  Francis Pang
Journal:  Pharmacoeconomics       Date:  2002       Impact factor: 4.981

Review 2.  A glossary for multilevel analysis.

Authors:  A V Diez Roux
Journal:  J Epidemiol Community Health       Date:  2002-08       Impact factor: 3.710

3.  The influence of social deprivation on length of hospitalisation.

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Journal:  Eur J Health Econ       Date:  2011-11-18

4.  Aggregation and the measurement of health care costs.

Authors:  Thomas E Getzen
Journal:  Health Serv Res       Date:  2006-10       Impact factor: 3.402

5.  Involving patients in primary care consultations: assessing preferences using discrete choice experiments.

Authors:  Mirella F Longo; David R Cohen; Kerenza Hood; Adrian Edwards; Michael Robling; Glyn Elwyn; Ian T Russell
Journal:  Br J Gen Pract       Date:  2006-01       Impact factor: 5.386

6.  New approaches to multilevel analysis.

Authors:  John R Beard
Journal:  J Urban Health       Date:  2008-11       Impact factor: 3.671

7.  Choosing the right medicare prescription drug plan: the effect of age, strategy selection, and choice set size.

Authors:  Yaniv Hanoch; Stacey Wood; Andrew Barnes; Pi-Ju Liu; Thomas Rice
Journal:  Health Psychol       Date:  2011-05-23       Impact factor: 4.267

8.  Explaining variations in breast cancer screening across European countries.

Authors:  Ansgar Wübker
Journal:  Eur J Health Econ       Date:  2013-06-07

9.  Impact of remuneration on guideline adherence: empirical evidence in general practice.

Authors:  Christel E van Dijk; Robert A Verheij; P Spreeuwenberg; Michael J van den Berg; Peter P Groenewegen; Jozé Braspenning; Dinny H de Bakker
Journal:  Scand J Prim Health Care       Date:  2013-01-21       Impact factor: 2.581

10.  Income related inequalities in self assessed health in Britain: 1979-1995.

Authors:  H Gravelle; M Sutton
Journal:  J Epidemiol Community Health       Date:  2003-02       Impact factor: 3.710

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