Literature DB >> 10399202

A simple method for analysing overdispersion in clustered Poisson data.

J N Rao1, A J Scott.   

Abstract

A simple method is proposed for analysing grouped count data exhibiting overdispersion relative to a Poisson model. The method is similar to the approach suggested for the analysis of clustered binary data in Rao and Scott (1992). It requires no specific model for the overdispersion and it can be implemented easily using standard programs designed to handle independent Poisson counts, after a small amount of preprocessing.

Mesh:

Year:  1999        PMID: 10399202     DOI: 10.1002/(sici)1097-0258(19990615)18:11<1373::aid-sim133>3.0.co;2-f

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


  3 in total

1.  Issues in estimating risks and rates in sports injury research.

Authors:  Sarah B Knowles; Stephen W Marshall; Kevin M Guskiewicz
Journal:  J Athl Train       Date:  2006 Apr-Jun       Impact factor: 2.860

2.  Socioeconomic status, Medicaid coverage, clinical comorbidity, and rehospitalization or death after an incident heart failure hospitalization: Atherosclerosis Risk in Communities cohort (1987 to 2004).

Authors:  Randi E Foraker; Kathryn M Rose; Chirayath M Suchindran; Patricia P Chang; Ann M McNeill; Wayne D Rosamond
Journal:  Circ Heart Fail       Date:  2011-03-23       Impact factor: 8.790

3.  Multicentre, cluster-randomized clinical trial of algorithms for critical-care enteral and parenteral therapy (ACCEPT).

Authors:  Claudio M Martin; Gordon S Doig; Daren K Heyland; Teresa Morrison; William J Sibbald
Journal:  CMAJ       Date:  2004-01-20       Impact factor: 8.262

  3 in total

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