Estimation of the recurrence rate of Bladder Cancer Tumor

Selma Thabet Thaker, Amaal Sadeq Hamoodi
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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.
膀胱癌肿瘤复发率的估计
本研究采用泊松回归模型(Poisson Regression Model)估计伤者康复后6个月内膀胱癌的复发率。由于本模型的因变量代表膀胱肿瘤复发的数量,而与肿瘤复发相关的解释变量代表遗传、吸烟、慢性、炎症、年龄和性别,这些应该会影响肿瘤的复发。在寻找模型能力和发展其统计推理方面,我们依赖于泊松回归模型所考虑的广义线性模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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