Firooz Esmaeilzadeh - Assistant Professor of Health Economics Department of Public Health, School of Public Health, Maragheh University of Medical Sciences, Maragheh, Iran
Mojtaba Sepandi - Department of Epidemiology and Biostatistics, Faculty of Health, Baqiyatallah University of medical sciences, Tehran, Iran

Background and Objective: Cancers are one of the most important public health problems in Iran. Because of the importance of cancers, the purpose of the current study was to the prediction of the future incidence of the most common cancers among Iranian military community (MC) by using the time series analysis during ۲۰۰۷ to ۲۰۱۹.Materials and Methods: In the current cross-sectional study, all registered cancers among Iranian MC entered the study. To select the best model of prediction, various methodsincluding autocorrelation function (ACF), partial autocorrelation function (PACF), and Akaike information criterion (AIC) statistics were used. All analysis was performed by using ITSM, stata۱۴, and Excel۲۰۱۰ software.Results: The most prevalent cancers among Iranian MC were breast, prostate, and colon cancers respectively. The time series analysis was shown that the trend of all mentionedcancers in Iranian MC will increase in the coming years.Conclusion: The trend of most prevalent cancers among Iranian MC was increasing but the different factors like the growth of population size and improving the registration system should be.

Time series, Cancer, Iranian military community