Literature DB >> 12375305

Multilevel modelling of medical data.

Harvey Goldstein1, William Browne, Jon Rasbash.   

Abstract

This tutorial presents an overview of multilevel or hierarchical data modelling and its applications in medicine. A description of the basic model for nested data is given and it is shown how this can be extended to fit flexible models for repeated measures data and more complex structures involving cross-classifications and multiple membership patterns within the software package MLwiN. A variety of response types are covered and both frequentist and Bayesian estimation methods are described. Copyright 2002 John Wiley & Sons, Ltd.

Mesh:

Year:  2002        PMID: 12375305     DOI: 10.1002/sim.1264

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  109 in total

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5.  Practice Patterns and Outcomes of Treatments for Atrial Fibrillation During Sepsis: A Propensity-Matched Cohort Study.

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Authors:  V P van Halm; J C van Denderen; M J L Peters; J W R Twisk; M van der Paardt; I E van der Horst-Bruinsma; R J van de Stadt; M H M T de Koning; B A C Dijkmans; M T Nurmohamed
Journal:  Ann Rheum Dis       Date:  2006-04-27       Impact factor: 19.103

7.  Pharmacy Asthma Care Program (PACP) improves outcomes for patients in the community.

Authors:  Carol Armour; Sinthia Bosnic-Anticevich; Martha Brillant; Debbie Burton; Lynne Emmerton; Ines Krass; Bandana Saini; Lorraine Smith; Kay Stewart
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8.  A bivariate multi-level model, which avoids mathematical coupling in the study of change and initial periodontal attachment level after therapy.

Authors:  Hans-Peter Müller
Journal:  Clin Oral Investig       Date:  2007-01-31       Impact factor: 3.573

9.  Semiparametric bayesian inference for multilevel repeated measurement data.

Authors:  Peter Müller; Fernando A Quintana; Gary L Rosner
Journal:  Biometrics       Date:  2007-03       Impact factor: 2.571

10.  Hospitalization of nursing home residents: the effects of states' Medicaid payment and bed-hold policies.

Authors:  Orna Intrator; David C Grabowski; Jacqueline Zinn; Mark Schleinitz; Zhanlian Feng; Susan Miller; Vince Mor
Journal:  Health Serv Res       Date:  2007-08       Impact factor: 3.402

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