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Kulldorff, M., Tango, T. and Park, P.J. (2003) Power Comparisons for Disease Clustering Tests. Computational Statistics & Data Analysis, 42, 665-684.
http://dx.doi.org/10.1016/S0167-9473(02)00160-3

has been cited by the following article:

• TITLE: Assessing the Association between Heart Attack, High Blood Pressure, and Heart Disease Mortality Rates and Particulate Matter and Socioeconomic Status Using Multivariate Geostatistical Model

  AUTHORS: Faye Anderson

  KEYWORDS: Heart Attack, High Blood Pressure, Heart Disease, Mortality, United States, Multivariate Geostatistics, Coregionalization, Multivariate Multiple, Linear

  JOURNAL NAME: Occupational Diseases and Environmental Medicine, Vol.4 No.1, February 19, 2016

  ABSTRACT: This study addresses the public concerns of potential adverse health effects from ambient fine particulate matter as well as socioeconomic factors. Heart attack, high blood pressure, and heart disease mortality rates were investigated against fine particulate matter and socioeconomic status, for all counties in the United States in 2013. Multivariate multiple regressions as well as multivariate geostatistical predictions show that these are significant factors towards assessing the causal inferences between exposure to air pollution and socioeconomic status and the three mortality rates.