A new class of minimum power divergence estimators with applications to cancer surveillance

DOI10.1016/J.JMVA.2011.03.011zbMath1216.62176OpenAlexW2110709405WikidataQ35774297 ScholiaQ35774297MaRDI QIDQ550171

Yi Li, Nirian Martín

Publication date: 8 July 2011

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2011.03.011

zbMATH Keywords

trendsPoisson samplingage-adjusted cancer ratesannual percent change (APC)

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

Poisson loglinear modeling with linear constraints on the expected cell frequencies

Cites Work

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• Minimum chi-square, not maximum likelihood!
• Efficient interval estimation for age-adjusted cancer rates
• Estimating Average Annual Percent Change for Disease Rates without Assuming Constant Change
• Comparing Trends in Cancer Rates Across Overlapping Regions
• An Age‐Stratified Poisson Model for Comparing Trends in Cancer Rates Across Overlapping Regions
• Homogeneity/Heterogeneity Hypotheses for Standardized Mortality Ratios Based on Minimum Power‐divergence Estimators
• On Information and Sufficiency

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