Time series models show comparable projection performance with joinpoint regression: A comparison using historical cancer data from World Health Organization
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...
Main Authors: | Jinhui Li, Nicholas B. Chan, Jiashu Xue, Kelvin K. F. Tsoi |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-10-01
|
Series: | Frontiers in Public Health |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1003162/full |
Similar Items
-
Trend in the incidence of hepatitis A in mainland China from 2004 to 2017: a joinpoint regression analysis
by: Yuan-Sheng Li, et al.
Published: (2022-08-01) -
Joinpoint Regression Analysis and an Application on Istanbul Stock-Exchange
by: Huriye Telli, et al.
Published: (2014-06-01) -
Is it time to talk about the end of social distancing? A joinpoint analysis of COVID-19 time series in Brazilian capitals
by: Raphael Mendonça Guimarães, et al.
Published: (2020-09-01) -
14.384 Time Series Analysis, Fall 2002
by: Kuersteiner, Guido M.
Published: (2002) -
Time Series Modelling
by: Christian H. Weiß
Published: (2021-09-01)