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无序多分类Logistic回归SPSS实战操作教程

2017-10-12 MedSci MedSci原创

Logistic
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1、问题与数据为了探讨基因X突变与恶性肿瘤Y不同组织类型发生风险的关系，某医生设计了一项病例对照研究。该医生纳入所在科室一年收治的145名该恶性肿瘤患者，并从医院体检数据库中随机选择了100名未患该肿瘤的体检者作为对照。相关信息整理成表1：表1 各病例组织类型与突变情况变量赋值情况如表2：表2 变量及变量赋值情况2、对数据结构的分析该研究中，“病例”与“对照”的关系不再是简单的“患病”与“不患

1、问题与数据为了探讨基因X突变与恶性肿瘤Y不同组织类型发生风险的关系，某医生设计了一项病例对照研究。该医生纳入所在科室一年收治的145名该恶性肿瘤患者，并从医院体检数据库中随机选择了100名未患该肿瘤的体检者作为对照。相关信息整理成表1：表1 各病例组织类型与突变情况变量赋值情况如表2：表2 变量及变量赋值情况2、对数据结构的分析该研究中，“病例”与“对照”的关系不再是简单的“患病”与“不患病”，而是病例分为四类（本例中包含对照组共四类），且各类别无次序关系。或者说，因变量Y不再是二分类的，而是无序多分类的。通过无序多分类的Logistic回归分析可以将三种不同组织类型的病例分别与对照组进行对比，分别得到基因X突变与三种肿瘤组织类型的暴露-风险关系。3、SPSS分析方法A. 数据录入SPSS若数据格式如表1所示，则首先在SPSS变量视图（Variable View）中新建三个变量：ID代表患者编号，Y代表组织类型，X代表是否突变，赋值参考表2.然后在数据视图（Data View）中录入数据。B. 选择Analyze → Regression → Multinomial Logisti

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    2018-06-25 cenghis

    #Logistic#

    0

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    2018-01-26 xlwang2703

    #logistic回归#

    0

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    2017-10-14 july_977

    #GIST#

    0

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    2017-10-13 1e207054m17(暂无匿称)

    非常好.学习了.谢谢老师

    0

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    2017-10-12 changjiu

    学习了.谢谢

    0

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