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Activity Number: 306 - Disease Prediction
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract #330156
Title: Age-Related Variations in Cancer Mortality Rates
Author(s): Keshav Pokhrel*
Companies: University of Michigan-Dearborn
Keywords: Functional Data; mortality; forecasting; smoothing; exponential; state space model
Abstract:

We present a novel functional forecasting technique for a long term forecasting purpose with cohort effects. Age-specific mortality curves were obtained using nonparametric smoothing methods. We apply functional time series models on age-specific cancer mortality rates for patients in different age groups, and forecast their mortality rates using exponential smoothing state-space models with damping.


Authors who are presenting talks have a * after their name.

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