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采用Stata实现倾向得分匹配分析

2016-05-14 法晓 医学统计分析精粹

stata倾向得分
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具体去实施这个倾向值匹配，一般有几个软件可以供选择： 1. SPSS，有个PSM的插件，其实是基于R包的。这个可能操作起来比较简单，但问题是，安装起来难啊.....很多人都没安装成功呢。 2. Stata，我觉得最经典的，就是这个pscore软件包了，当然，也还有别的，psmatch2之类。 3. R，最流行的就是matching包和MatchIt包，等等啦。貌似那个SPSS中PSM的插

具体去实施这个倾向值匹配，一般有几个软件可以供选择： 1. SPSS，有个PSM的插件，其实是基于R包的。这个可能操作起来比较简单，但问题是，安装起来难啊.....很多人都没安装成功呢。 2. Stata，我觉得最经典的，就是这个pscore软件包了，当然，也还有别的，psmatch2之类。 3. R，最流行的就是matching包和MatchIt包，等等啦。貌似那个SPSS中PSM的插件就是基于这个MatchIt的，我没试过。 R上手的话，更难一些。如果你有准备很好的数据集，可以从SPSS中直接保存成Stata的dta格式，再用Stata打开，那还是用Stata中的pscore比较方便一些。 做倾向值评分匹配嘛，流程其实很简单，就根据名字，根据相关变量，1. 算一个倾向值，然后2. 匹配一下，输出的结果，其实直接就是我们想要的了。 当然，很多人说还要比较均衡不均衡，关于那个balance；还有人说要做那个敏感性分析，sensitive analysis。。。哎，那些都是后话了，先做出结果来再说。也没见几个人做Logistic回归之前检验下假设满不满足，之后看一下拟合效果啊？是吧。甭管

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    2021-02-25 ms9000000768481009

    请问大家是如何获取积分呀，小白真的不懂

    0

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    2021-02-25 ms9000000768481009

    要学习一下

    0

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    2019-05-05 寻光追影

    学习了，谢谢老师

    0

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    2017-01-02 297149680

    老师？TREAT是什么？自变量？能再解释一下吗？非常感谢！?

    0

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    2016-05-30 lsblb

    值得学习

    0

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    2016-05-30 lsblb

    值得学习

    0

  7. [GetPortalCommentsPageByObjectIdResponse(id=927015, encodeId=d69a92e015ba, content=请问大家是如何获取积分呀，小白真的不懂, beContent=null, objectType=article, channel=null, level=null, likeNumber=54, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=51b85462943, createdName=ms9000000768481009, createdTime=Thu Feb 25 07:41:46 CST 2021, time=2021-02-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=927014, encodeId=df4c92e014bc, content=要学习一下, beContent=null, objectType=article, channel=null, level=null, likeNumber=53, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=51b85462943, createdName=ms9000000768481009, createdTime=Thu Feb 25 07:40:45 CST 2021, time=2021-02-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=365766, encodeId=f7ed365e66c2, content=学习了，谢谢老师, beContent=null, objectType=article, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cdnapi.center.medsci.cn/medsci/head/2019/05/05/cd5a34272b3a78aadc0ae619461ccfaf.jpg, createdBy=228e5090734, createdName=寻光追影, createdTime=Sun May 05 16:55:49 CST 2019, time=2019-05-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=167324, encodeId=3f9816e324a3, content=老师？TREAT是什么？自变量？能再解释一下吗？非常感谢！?, beContent=null, objectType=article, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ed811349873, createdName=297149680, createdTime=Mon Jan 02 00:06:34 CST 2017, time=2017-01-02, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=87612, encodeId=dd5d8e61274, content=值得学习, beContent=null, objectType=article, channel=null, level=null, likeNumber=130, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=f9f21613855, createdName=lsblb, createdTime=Mon May 30 18:40:00 CST 2016, time=2016-05-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=87613, encodeId=92a38e613ac, content=值得学习, beContent=null, objectType=article, channel=null, level=null, likeNumber=158, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=f9f21613855, createdName=lsblb, createdTime=Mon May 30 18:40:00 CST 2016, time=2016-05-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1466014, encodeId=ba631466014a9, content=<a href='/topic/show?id=217c292009' target=_blank style='color:#2F92EE;'>#ATA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=2920, encryptionId=217c292009, topicName=ATA)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=387a6772119, createdName=bbjsj_1981, createdTime=Mon May 16 12:54:00 CST 2016, time=2016-05-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1487411, encodeId=5905148e411d8, content=<a href='/topic/show?id=7cea16e605a' target=_blank style='color:#2F92EE;'>#stata#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=16760, encryptionId=7cea16e605a, topicName=stata)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=e76d8309257, createdName=李研东, createdTime=Mon May 16 12:54:00 CST 2016, time=2016-05-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=85833, encodeId=d658858334a, content=非常实用，回去就试一试，看一看。, beContent=null, objectType=article, channel=null, level=null, likeNumber=112, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=96871613250, createdName=medcardio, createdTime=Sun May 15 10:00:00 CST 2016, time=2016-05-15, status=1, ipAttribution=)]
    2016-05-16 bbjsj_1981

    #ATA#

    0

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    2016-05-16 李研东

    #stata#

    0

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    2016-05-15 medcardio

    非常实用，回去就试一试，看一看。

    0

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