Forecasting annual incidence and mortality rate for prostate cancer in Australia until 2022 using autoregressive integrated moving average (ARIMA) models
Objectives Prostate cancer is the second most common cause of cancer-related death in males after lung cancer, imposing a significant burden on the healthcare system in Australia. We propose the use of autoregressive integrated moving average (ARIMA) models in conjunction with population forecasts t...
Saved in:
| Main Authors: | Sue M Evans, Arul Earnest, Fanny Sampurno, Jeremy Millar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2019-08-01
|
| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/9/8/e031331.full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PENERAPAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) UNTUK PREDIKSI BILANGAN SUNSPOT
by: Felia Dria Yuliawanti, et al.
Published: (2021-09-01) -
COMPARISON OF FORECASTING RICE PRODUCTION IN MAGELANG CITY USING DOUBLE EXPONENTIAL SMOOTHING AND AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA)
by: M. Imron, et al.
Published: (2023-09-01) -
Application of ARIMA (Autoregressive Integrated Moving Average) model to predict Rupiah selling exchange rate against US Dollar
by: Afif Febriawan, et al.
Published: (2023-12-01) -
Affinity Coefficient for Clustering Autoregressive Moving Average Models
by: Ana Paula Nascimento, et al.
Published: (2024-01-01) -
Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transformers: Longitudinal Observational Study
by: Deliang Yang, et al.
Published: (2025-05-01)