文章基本信息

标题：Forecasting Age-Specific Brain Cancer Mortality Rates Using Functional Data Analysis Models
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作者：Keshav P. Pokhrel ; Chris P. Tsokos
期刊名称：Advances in Epidemiology
印刷版ISSN：2356-6701
出版年度：2015
卷号：2015
DOI：10.1155/2015/721592
出版社：Hindawi Publishing Corporation
摘要：Incidence and mortality rates are considered as a guideline for planning public health strategies and allocating resources. We apply functional data analysis techniques to model age-specific brain cancer mortality trend and forecast entire age-specific functions using exponential smoothing state-space models. The age-specific mortality curves are decomposed using principal component analysis and fit functional time series model with basis functions. Nonparametric smoothing methods are used to mitigate the existing randomness in the observed data. We use functional time series model on age-specific brain cancer mortality rates and forecast mortality curves with prediction intervals using exponential smoothing state-space model. We also present a disparity of brain cancer mortality rates among the age groups together with the rate of change of mortality rates. The data were obtained from the Surveillance, Epidemiology and End Results (SEER) program of the United States. The brain cancer mortality rates, classified under International Classification Disease code ICD-O-3, were extracted from SEERStat software.