Document Detail


Homogeneity/heterogeneity hypotheses for standardized mortality ratios based on minimum power-divergence estimators.
MedLine Citation:
PMID:  19827057     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper analyzes the power divergence estimators when homogeneity/heterogeneity hypotheses among standardized mortality ratios (SMRs) are taken into account. A Monte Carlo study shows that when the standard mortality rate is not external, that is it is estimated from the sample data, these estimators have a good performance even for small sample sets and in particular the minimum chi-square estimators have a better behavior compared to the classical maximum likelihood estimators. In order to make decisions under homogeneity/heterogeneity hypotheses of SMRs we propose some test-statistics which consider the minimum power divergence estimators. Through a numerical example focused on SMRs of melanoma mortality ratios in different regions of the US, a homogeneity/heterogeneity study is illustrated.
Authors:
Leandro Pardo; Nirian Mart??n
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Biometrical journal. Biometrische Zeitschrift     Volume:  51     ISSN:  1521-4036     ISO Abbreviation:  Biom J     Publication Date:  2009 Oct 
Date Detail:
Created Date:  2009-10-26     Completed Date:  2010-01-06     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7708048     Medline TA:  Biom J     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  819-36     Citation Subset:  IM    
Affiliation:
Department of Statistics and O.R., Complutense University of Madrid, Madrid, Spain.
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MeSH Terms
Descriptor/Qualifier:
Biometry / methods*
Chi-Square Distribution
Epidemiologic Methods
Humans
Likelihood Functions
Melanoma / mortality
Models, Statistical
Monte Carlo Method
Mortality*
Poisson Distribution
United States / epidemiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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