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Health risk factors assessment using gradual and classic logistics regression analysis

机译：使用逐步和经典物流回归分析进行健康风险因素评估

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The problem of determining the factor significance is present in analysis of one multifactor or often multivariate experiment. It is necessary to determine individual influence of each factor i.e. criteria on depedent variable/s. Each criteria can be: quantitative, continius or categorical value, when we can determine values in difference or qualitative, when is possible only ranking of criteria weights . First group of problems is frequently solved with application of clasic or disputed gradual technique of regression, which is called logistic in the case if the dependent variables are categorical type. Authors presented an comparsion of two possible logistic methodology and that method clasic logistic regression analysis and method of gradual logistic regression analysis in practical demonstration. Data are used from study enforced on Clinical center Nis, Serbia for solving the problem of determining of the relevant indicators of risk of variceal bleeding and deth income in patients with liver cirrhosis.
机译：确定因子重要性的问题存在于一项多因子或通常为多变量实验的分析中。有必要确定每个因素的个别影响，即对相关变量的标准。每个标准可以是：定量的，连续的或分类的值，当我们可以确定差异或定性的值时，则可能仅对标准权重进行排序。第一组问题通常通过采用经典的或有争议的渐进式回归技术解决，如果因变量是分类类型，则称为对数回归。作者对两种可能的逻辑方法进行了比较，并在实际演示中比较了经典逻辑回归分析法和渐进逻辑回归分析法。数据来自塞尔维亚尼斯临床中心进行的研究，用于解决确定肝硬化患者静脉曲张破裂出血风险和死亡收入的相关指标的确定问题。

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