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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
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 |
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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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