title: [Autoregressive integrated moving average model and circle distribution analysis of stroke mortality in Tianjin].
abstract: BACKGROUND
  To develop a model for forecasting the mortality of stroke in Tianjin, China. The time series of stroke mortality from 1999 Jan. to 2006 Dec. in Tianjin city were subjected. Circle distribution analysis was used to verify the trend of time concentration. Multiple seasonal autoregressive integrated moving average model [ARIMA (p, d, q) (P, D, Q) s], based on model identification, estimation and verification of parameter, and analysis of the fitting of model, was established. Most of the deaths from stroke occurred in January and had a cycle of 12 months. An ARIMA model (0, 1, 0) x (0, 1, 1)12 was established (1--B) (1-- B12) lnx(i) = 0.001 + (1--0.537 B12)epsilon(t).
  
  
  CONCLUSIONS
  ARIMA & Circle Distribution analysis is an important tool for stroke mortality analysis. Potentially it has a high practical value on the surveillance, forecasting and prevention of stroke mortality.
authors: Tianjin Center for Disease Control and Prevention, Tianjin 300011, China.
authors: De-Zheng
authors: DZ
authors: Wang
authors: Guo-Hong
authors: GH
authors: Jiang
authors: Gui-De
authors: GD
authors: Song
authors: Tong-Yu
authors: TY
authors: Wu
authors: Yi
authors: Y
authors: Pan
authors: Ying
authors: Y
authors: Zhang
authors: Hui
authors: H
authors: Zhang
mesh_terms: D002423:Cause of Death; D002681:China / Q000453:epidemiology; D006801:Humans; D015233:Models, Statistical; D016008:Statistical Distributions; D020521:Stroke / Q000453:epidemiology / Q000401:mortality*; D013997:Time Factors