Forecasting the Incidence of Breast, Colorectal and Bladder Cancers in North of Iran Using Time Series Models; Comparing Bayesian, ARIMA and Bootstrap Approaches

Forecasting the Incidence of Breast, Colorectal and Bladder Cancers in North of Iran Using Time Series Models; Comparing Bayesian, ARIMA and Bootstrap Approaches

Introduction: Cancers are the second cause of death worldwide. Prevalence and incidence of cancers is getting increased by aging and population growth. This study aims to predict the incidence of breast, colorectal and bladder cancers in north of Iran until 2020 using time series models. Methods: T...

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Bibliographic Details
Main Authors: Ghasem Janbabaee, Aliasghar Nadi-Ghara, Mahdi Afshari, Somayeh Rahimi Moghadam, Majid Yaghoubi Ashrafi, Mohsen Aarabi, Akbar Hedayatizadeh-Omran, Reza Alizadeh-Navaei, Mohammad Eslami Jouybari, Mahmood Moosazadeh
Format: Article
Language:English
Published: West Asia Organization for Cancer Prevention 2021-07-01
Series:Asian Pacific Journal of Environment and Cancer
Subjects:
breast cancer, bladder cancer, colorectal cancer, forecasting, time series.
Online Access:http://www.waocp.com/journal/index.php/apjec/article/view/714

Internet

http://www.waocp.com/journal/index.php/apjec/article/view/714

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