Time series models show comparable projection performance with joinpoint regression: A comparison using historical cancer data from World Health Organization

• 主要な著者: Jinhui Li (著者), Nicholas B. Chan (著者), Jiashu Xue (著者), Kelvin K. F. Tsoi (著者)
• フォーマット: 図書
• 出版事項: Frontiers Media S.A., 2022-10-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

BackgroundCancer is one of the major causes of death and the projection of cancer incidences is essential for future healthcare resources planning. Joinpoint regression and average annual percentage change (AAPC) are common approaches for cancer projection, while time series models, traditional ways...