{"title":"Estimation of the recurrence rate of Bladder Cancer Tumor","authors":"Selma Thabet Thaker, Amaal Sadeq Hamoodi","doi":"10.1109/CAS47993.2019.9075765","DOIUrl":null,"url":null,"abstract":"The research dealt with using (Poisson Regression Model) to estimate the recurrence rate of Bladder cancer over six months' period, after injurer's recovery. Since the dependent variable in this model represents the numerous of recurs tumor in the bladder, while the related explanatory variables associated with the recurrence of the tumor represented by heredity, smoking, chronic, inflammation, age and gender, which supposed to affected tumor recurrence. We have relied on (Generalized Linear models) which the Poisson regression model considered apart from it, in finding the model capabilities and developing its statistical reasoning.","PeriodicalId":202291,"journal":{"name":"2019 First International Conference of Computer and Applied Sciences (CAS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 First International Conference of Computer and Applied Sciences (CAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAS47993.2019.9075765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The research dealt with using (Poisson Regression Model) to estimate the recurrence rate of Bladder cancer over six months' period, after injurer's recovery. Since the dependent variable in this model represents the numerous of recurs tumor in the bladder, while the related explanatory variables associated with the recurrence of the tumor represented by heredity, smoking, chronic, inflammation, age and gender, which supposed to affected tumor recurrence. We have relied on (Generalized Linear models) which the Poisson regression model considered apart from it, in finding the model capabilities and developing its statistical reasoning.