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Homogeneity/Heterogeneity Hypotheses for Standardized Mortality Ratios Based on Minimum Power-divergence Estimators

Pardo Llorente, Leandro and Martín Apaolaza, Níriam (2009) Homogeneity/Heterogeneity Hypotheses for Standardized Mortality Ratios Based on Minimum Power-divergence Estimators. Biometrical journal, 51 (5). pp. 819-836. ISSN 0323-3847

Official URL: http://onlinelibrary.wiley.com/doi/10.1002/bimj.200800158/pdf

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Abstract

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 SNIPS 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

Item Type:Article
Uncontrolled Keywords:Poisson Sampling; Indirect Standardized Mortality Ratio; Multiplicative Model; Log-linear models; Rates; Heterogeneity
Subjects:Sciences > Mathematics > Applied statistics
ID Code:17391
Deposited On:12 Dec 2012 09:27
Last Modified:12 Dec 2012 09:27

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