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      • Difference in the Incidences of the Most Prevalent Urologic Cancers from 2003 to 2009 in Iran

        Basiri, Abbas,Shakhssalim, Nasser,Jalaly, Niloofar Yahyapour,Miri, Hamid Heidarian,Partovipour, Elham,Panahi, Mohammad Hossein Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.3

        Background: Urological cancers represent a major public problem associated with high mortality and morbidity. The pattern of these cancers varies markedly according to era, region and ethnic groups, but increasing incidence trends overall makes focused epidemiological studies important. The aim of the present study was to assess the incidence of most prevalent urological cancers in Iran from 2003 to 2009. Materials and Methods: The data for this study were obtained from the population-based Cancer Registry Center of the Iran Ministry of Health and Medical Education. Differences of mean age and age distributions of each cancer were compared between 2003 and 2009 in men and women. Results: Bladder cancer was the most common urologic cancer in both genders. The rate difference of age standardized ratio (ASR) of bladder and renal cell carcinoma in women were 1.54 and 2.01 percent per 100,000 population from 2003 to the 2009, respectively. In men, the rate difference of age standardized ratio of prostate, testis, kidney and bladder cancer was also 2.23, 1.2, 1.8 and 1.5 percent per 100,000 population from 2003 to 2009, respectively. The mean ages of patients in all cancers in both genders did not differ significantly through time (p value>0.05) but the distribution of ages of patients with bladder and prostate cancer changed significantly from 2003 to 2009 (p value<0.001). Conclusions: The results of present study suggest the general pattern and incidence of urological cancers in Iran are changing, the observed increase pointing to a need for urological cancer screening programs.

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        Optimal random sample size based on Bayesian prediction of exponential lifetime and application to real data

        Jafar Ahmadia,Elham Basiri,S.M.T.K. MirMostafaee 한국통계학회 2016 Journal of the Korean Statistical Society Vol.45 No.2

        Choosing the sample size is a problem faced by anyone doing a survey of any type. ‘‘What sample size do we need?’’ is one of the most frequently asked questions of statisticians. The answer always starts with ‘‘It depends on...’’. In this paper, we respond to this question by considering two criteria, total cost of experiment and mean squared prediction error in prediction problem. Towards this end, we discuss the problem of Bayesian predicting future observations from an exponential distribution based on an observed sample, when the information sample size is fixed as well as a random variable. Some distributions for the information sample size are considered and then for each case we find the parameter of distribution of the information sample size, such that the point predictor of a future order statistic has minimum mean squared prediction error when the total cost of experiment is bounded. To show the usefulness of our results, we present a simulation study. Finally, we apply our results to some real data sets in life testing.

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