一文详述:观察性研究中的logistic回归分析思路

2019-10-16 冯国双 医咖会

观察性研究在研究设计中占有非常重要的地位,实际应用中比较常见的是病例对照研究和队列研究。尽管其应用广泛,但在数据分析中却存在不少问题。在分析时往往只考虑数据本身,而未能结合研究类型,从而导致结果的偏倚。甚至在已发表的文章中,也存在一些不严谨用语。本文从观察性研究的类型出发,基于不同研究类型的研究目的,以logistic回归分析为例,探讨观察性研究的不同分析思路,希望为医学科研工作者提供一定的参

观察性研究在研究设计中占有非常重要的地位,实际应用中比较常见的是病例对照研究和队列研究。尽管其应用广泛,但在数据分析中却存在不少问题。在分析时往往只考虑数据本身,而未能结合研究类型,从而导致结果的偏倚。甚至在已发表的文章中,也存在一些不严谨用语。

本文从观察性研究的类型出发,基于不同研究类型的研究目的,以logistic回归分析为例,探讨观察性研究的不同分析思路,希望为医学科研工作者提供一定的参考和借鉴。

logistic回归

假定有m个自变量X1,X2,…,Xm,logistic回归模型的基本形式可表达为:

只从数据本身考虑的话,logistic回归模型都是包括一个分类因变量及若干自变量(可以是分类变量,也可以是连续变量),反映了m个自变量对因变量的线性影响。无论对于病例对照研究还是队列研究,这种形式都是不变的。

部分研究在数据分析时,忽略了前期的设计思路,只是简单地把因变量和所有自变量纳入统计软件中相应位置,点击运行直接给出结果。从数据上来看,病例对照研究和队列研究的数据形式完全一样,软件操作过程也并无不同,都是指定因变量和自变量,然后给出参数估计值及统计检验结果。

统计软件无法判断研究者采用的是病例对照研究还是队列研究,也并不清楚作者的主要研究目的是什么,只是对指定的变量进行参数估计。而统计分析的思路需要根据研究目的和研究类型而定,对于病例对照研究或队列研究而言,它们的分析思路显然不同。一味依靠统计软件,不仅容易出现一些错误分析思路,也会导致错误的分析结果。

病例对照研究中的logistic回归

从数据分析的角度来看,病例对照研究大致有两大类目的:一是探索危险因素,二是验证危险因素。

1、以探索危险因素为目的的分析思路:

危险因素的探索常见于临床研究中,通常用于研究初期,此时研究者并不清楚哪些因素可能会影响结局的发生,因此先进行初步探索。根据专业知识和经验收集一些可能的指标,然后从中寻找可能对结局影响较大的因素。

例如,探索儿童打鼾的危险因素,研究者并无太多的前期基础,只是为了发现可能与儿童打鼾有关的因素,这种情况下会根据文献报道、专业经验等收集一些可能有关的指标,并从中找出与儿童打鼾有关的部分因素。

危险因素探索的文章中,最常见的表述错误是“校正其他混杂因素”后,发现共K个变量对结局有影响。混杂因素是相对主要研究因素而言,而危险因素探索的研究中,并无明确的主要研究因素,所有变量都是待研究的因素,目的是从这些变量中找出哪些有影响。此类研究中,“校正其他混杂因素”是一种不严谨的表达方式。

对于这种分析思路,需要有一定的分析经验和技巧。实际分析中,需要考虑几个问题:

① 线性问题:由于logistic回归本质上仍属于“线性模型”,因此一定要确认自变量与因变量(logit P)之间是否存在线性关系,如果不是,需要考虑进行相应的变换,否则可能会产生错误结果。

例1:某研究分析老年人高血压(二分类变量,是或否)的危险因素,研究因素包括gender、age、ox-LDL、Adiponectin、ox-LDL IgG 和 ox-LDL IgM 共6个指标。其中gender 为二分类变量,其余变量均为连续变量。如果把6个自变量直接纳入统计软件分析,所得结果见表 1。



可以看出,6个变量均差异无统计学意义。然而对数据重新分析后发现,并不是这些变量对结局均无影响,只是未能发现它们之间的真实关系而已。经仔细观察,发现 age 和 ox-LDL IgM 对结局的影响是有统计学意义的,但不是线性影响,而是二次项关系(表 2)。



② 共线性问题:共线性即自变量之间存在高度相关,从而导致结果不可靠 [1]。共线性是大多数回归模型都需要考虑的一个问题,一旦发现该问题,需要采取不同措施来解决。常见的解决方案包括删除某一自变量、主成分分析、Lasso回归等。

例2:某研究分析乳腺增生的危险因素,自变量同时包括妊娠次数(三分类变量,用1、2、3表示相应次数)和流产次数(三分类变量,用0、1、2表示相应次数)。在单因素分析中妊娠次数差异有统计学意义(2 vs. 1,P=0.026;3 vs. 1,P=0.035),然而多因素分析中则差异无统计学意义(P值分别为0.635、0.594)。分析原因发现,主要是由于妊娠次数和流产次数有较强的共线性,二者相关系数高达0.55,从而导致妊娠次数变得无统计学意义。解决方案采用了删除法,删除妊娠次数变量,保留了流产次数变量。

③ 单因素和多因素的问题:目前危险因素筛选的一种分析思路:先进行单因素分析,将单因素分析中差异有统计学意义(P<0.05)的变量再纳入多因素分析,选出最终有统计学意义的变量作为危险因素。然而这一思路并非十分可靠,有些情况下可能会出现单因素分析无统计学意义而多因素分析有统计学意义的情况,此时就容易漏掉某些重要的因素。

例3:某研究分析两个血清学指标(分别用阳性和阴性表示)对癌的影响,数据结果见表 3。



该数据采用单因素分析的话,可以发现 x1 差异无统计学意义(P=0.114),而在多因素分析中却变得有统计学意义(P=0.018)。如果只将单因素分析中有统计学意义的变量纳入多因素分析的话,就会漏掉x1变量。

为什么会出现这种情况,主要是因为 x1 和 x2 之间存在负相关,而 x1、x2 与结局之间均为正相关。因此,数据分析过程中,不要盲目套用所谓的“分析套路”,而应结合实际情况具体问题具体分析。

总之,在筛选危险因素时,建议不要仅将单因素分析有统计学意义的变量纳入多因素分析,一定要厘清变量之间的关系,否则容易遗漏重要的变量或纳入无意义的变量。

2、以验证危险因素为目的的分析思路:

验证危险因素,说明研究者在研究开始时已经有明确的主要研究因素,主要目的是为了验证该因素是不是真正的影响因素。基于这种目的,研究者在设计时会突出主要因素,但同时也会收集其他可能的混杂因素。

例如,探索肺癌与吸烟的关系,吸烟是主要研究因素,因此问卷调查中会详细设置各种与吸烟有关的问题。考虑到其他因素可能也会影响肺癌发生,因此调查时也会加入其他有关因素的调查,但这些因素不是研究者关心的,只是为了校正这些因素,以便真正明确吸烟与肺癌的关系。

因此,对于这种研究目的关键的问题是,如何控制混杂因素,以便真正明确主要研究因素与结局的关系。混杂因素在流行病学中已有详细定义[2],不再赘述。

从数据分析的角度来看,要判断一个因素是否为混杂因素,可以从两个方面来考虑:

第一,分析该因素是否对结局有较大影响,通常可采用χ2检验或单因素logistic回归来实现;

第二,分析该因素在主要研究因素中的分布情况,通常采用χ2检验来实现。

例4:某研究分析性别与幽门螺杆菌(Hp)的关系,现在考虑吸烟是否为影响二者关系的混杂因素。具体数据见表 4。



首先分析吸烟对结局的影响,采用χ2检验或单因素logistic回归不难发现,吸烟人群与不吸烟人群相比,Hp阳性的风险更高(OR=1.84,95%CI:1.44~2.35)。其次分析吸烟在性别中的分布,χ2检验结果显示,男性和女性中吸烟的比例差异有统计学意义(χ2=396.97,P<0.001),男性的吸烟比例远高于女性。

由此看出,以性别作为主要分析变量,在分析性别与Hp感染时,吸烟可能是影响二者关系的混杂因素,必须加以校正。校正前结果显示,性别对Hp的影响有统计学意义,男性有更高的Hp阳性风险(OR=1.62,95%CI:1.26~2.07);校正后发现,性别对Hp的影响无统计学意义(OR=1.26,95%CI:0.94~1.68)。

因此,对于以验证危险因素为目的的logistic回归分析,分析思路主要是明确哪些因素可能是混杂因素并加以校正,以发现主要研究因素与结局的真实关系。

建议尽量避免的两种思路:

①把所有变量都进行校正。除非样本量足够大,否则这种方式不可取。因为纳入的自变量越多,所消耗的自由度越大,用于估计主要研究因素的样本量相对越小,结果的精确度也越低。

②采用逐步回归筛选变量。作为主要研究变量,一定要保留在模型中,同时要纳入混杂因素。逐步回归筛选适用于探索危险因素,不适用于验证危险因素。

队列研究中的logistic回归

队列研究绝大多数都是为了验证某一危险因素,这是由研究性质决定的。因为队列研究在一开始就需要指定暴露和非暴露,也就相当于确定了主要研究因素。因此,从数据分析角度来讲,队列研究主要是为了排除混杂因素,与前文介绍的思路并无不同。但队列研究在时间顺序上可以证明研究因素发生在前,结局发生在后,因此其验证能力更强。

由于队列研究有明确的时间先后顺序,此时在说明主要研究因素与结局的关联强度时,可采用RR(risk ratio)而非OR(odds ratio)。队列研究中,当结局发生率很低时(<10%),OR是RR的一个很好的替代指标,此时用logistic回归可直接求得OR值,用来说明暴露的危险度。但如果结局发生率不是很低,OR与RR差别较大,此时用OR来说明危险度可能会有一定的偏倚 [3]。

例5:某研究分析Hp感染黏膜病变进展的关系,观察数据见表 5。



本研究如果计算OR值,则OR=2.44(95%CI:1.05~5.70),如果计算RR值,则RR=1.77(95%CI:1.01~3.12)。由于病变进展的发生率较高,两个指标差别较大。

队列研究中RR值的计算通常可采用对数二项分布回归(log-binomial regression)。通常需要借助软件实现,如SAS的proc genmod过程[4]。

小结

本文介绍了病例对照研究和队列研究中logistic回归分析的不同思路,以及常见的一些应用错误。然而本文的思路并不仅限于logistic回归分析,完全可以推广到其他广义线性模型。

例如,队列研究的观察结局如果是计数资料,则可考虑Poisson回归或负二项回归,此时仍需考虑混杂因素的校正问题。因此,本文思路对各种常见的回归模型均有一定借鉴意义,至于模型的选择主要取决于研究结局类型及其分布。

在各种常见的回归分析中,一定要分清研究类型及其目的,到底是探索危险因素还是验证危险因素。危险因素的筛选过程较为复杂,需要考虑较多问题,包括变量筛选方式等;验证危险因素相对较为简单,不需要考虑变量筛选,但要明确混杂因素并加以校正。

一定要避免“把数据完全交给软件”这种分析方式,软件主要用来解决计算问题,分析思路必须由研究者来确定。统计分析不是简单的参数估计,而应结合研究类型,明确研究思路,才能给出合理的结果。

利益冲突:所有作者均声明不存在利益冲突

参考文献:

1.Mennard S. Applied logistic regression analysis[M]. Newbury Park, California: SAGE Publications, Inc, 2001.

2.徐飙. 流行病学原理[M]. 上海: 复旦大学出版社, 2007.

Xu B. Epidemic theory[M]. Shanghai: Fudan University Press, 2007.

3.Stokes ME, Davis CS, Koch GG. Categorical data analysis using the SASsystem[M]. 2nd ed. Cary, NC: John Willy & Sons, Inc, 2000.

4.冯国双, 刘德平. 医学研究中的logistic回归分析及SAS实现[M]. 2版. 北京: 北京大学医学出版社,, 2015.

Feng GS, Liu DP. Logistic regression analysis and SAS application in medical research[M]. 2nd ed. Beijing: Peking University Medical Press, 2015.

版权声明:
本网站所有内容来源注明为“梅斯医学”或“MedSci原创”的文字、图片和音视频资料,版权均属于梅斯医学所有。非经授权,任何媒体、网站或个人不得转载,授权转载时须注明来源为“梅斯医学”。其它来源的文章系转载文章,或“梅斯号”自媒体发布的文章,仅系出于传递更多信息之目的,本站仅负责审核内容合规,其内容不代表本站立场,本站不负责内容的准确性和版权。如果存在侵权、或不希望被转载的媒体或个人可与我们联系,我们将立即进行删除处理。
在此留言
评论区 (9)
#插入话题
  1. [GetPortalCommentsPageByObjectIdResponse(id=961795, encodeId=9166961e95b9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210430/a2efed564bb147eaa0e7fb82180c4ab4/baba5c9af28140fda35f998687f88a72.jpg, createdBy=52355490181, createdName=蒯玉娴, createdTime=Fri Apr 30 14:18:06 CST 2021, time=2021-04-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949612, encodeId=dd549496124a, content=学习咯, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://q.qlogo.cn/qqapp/1103841572/AFEE88F419F5C2EE00A4D2529684DE09/100, createdBy=94611950576, createdName=ms5233340938792882, createdTime=Fri Mar 19 23:00:43 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1671705, encodeId=d4e316e170522, content=<a href='/topic/show?id=c56c4051902' target=_blank style='color:#2F92EE;'>#回归分析#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=40519, encryptionId=c56c4051902, topicName=回归分析)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a46f26833520, createdName=cenghis, createdTime=Wed May 06 02:28:00 CST 2020, time=2020-05-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1905772, encodeId=9b651905e72d1, content=<a href='/topic/show?id=9dc4109964f' target=_blank style='color:#2F92EE;'>#Logistic#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10996, encryptionId=9dc4109964f, topicName=Logistic)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=afa4194, createdName=cenghis, createdTime=Tue Nov 26 22:28:00 CST 2019, time=2019-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1746742, encodeId=c6321e4674294, content=<a href='/topic/show?id=88e91099e10' target=_blank style='color:#2F92EE;'>#logistic回归#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10997, encryptionId=88e91099e10, topicName=logistic回归)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3c135838005, createdName=xlwang2703, createdTime=Wed Sep 30 03:28:00 CST 2020, time=2020-09-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374523, encodeId=a7bd3e4523a8, content=非常好,谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bd735216193, createdName=530888350_28847786, createdTime=Mon Oct 28 08:37:20 CST 2019, time=2019-10-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1455158, encodeId=2b421455158bd, content=<a href='/topic/show?id=bebe8032fc' target=_blank style='color:#2F92EE;'>#GIST#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=8032, encryptionId=bebe8032fc, topicName=GIST)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6e445632366, createdName=july_977, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1499830, encodeId=4f2314998309f, content=<a href='/topic/show?id=113c90584e6' target=_blank style='color:#2F92EE;'>#观察性研究#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=90584, encryptionId=113c90584e6, topicName=观察性研究)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=34519379140, createdName=shock_melon, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374009, encodeId=a93b3e40092e, content=学习了,学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=63, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/jW482SpianMayicTRbRZ5RzTetibytbqFDmFITWHyBWbxU7S9MYibgPSqvu0sYteH0N6zXqbU0Kf3Mbdb7yWM1Kud3zPgYBibE2SZ/0, createdBy=da7696924, createdName=qingfengqishi5, createdTime=Wed Oct 16 21:37:46 CST 2019, time=2019-10-16, status=1, ipAttribution=)]
    2021-04-30 蒯玉娴

    学习了

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=961795, encodeId=9166961e95b9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210430/a2efed564bb147eaa0e7fb82180c4ab4/baba5c9af28140fda35f998687f88a72.jpg, createdBy=52355490181, createdName=蒯玉娴, createdTime=Fri Apr 30 14:18:06 CST 2021, time=2021-04-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949612, encodeId=dd549496124a, content=学习咯, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://q.qlogo.cn/qqapp/1103841572/AFEE88F419F5C2EE00A4D2529684DE09/100, createdBy=94611950576, createdName=ms5233340938792882, createdTime=Fri Mar 19 23:00:43 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1671705, encodeId=d4e316e170522, content=<a href='/topic/show?id=c56c4051902' target=_blank style='color:#2F92EE;'>#回归分析#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=40519, encryptionId=c56c4051902, topicName=回归分析)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a46f26833520, createdName=cenghis, createdTime=Wed May 06 02:28:00 CST 2020, time=2020-05-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1905772, encodeId=9b651905e72d1, content=<a href='/topic/show?id=9dc4109964f' target=_blank style='color:#2F92EE;'>#Logistic#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10996, encryptionId=9dc4109964f, topicName=Logistic)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=afa4194, createdName=cenghis, createdTime=Tue Nov 26 22:28:00 CST 2019, time=2019-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1746742, encodeId=c6321e4674294, content=<a href='/topic/show?id=88e91099e10' target=_blank style='color:#2F92EE;'>#logistic回归#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10997, encryptionId=88e91099e10, topicName=logistic回归)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3c135838005, createdName=xlwang2703, createdTime=Wed Sep 30 03:28:00 CST 2020, time=2020-09-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374523, encodeId=a7bd3e4523a8, content=非常好,谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bd735216193, createdName=530888350_28847786, createdTime=Mon Oct 28 08:37:20 CST 2019, time=2019-10-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1455158, encodeId=2b421455158bd, content=<a href='/topic/show?id=bebe8032fc' target=_blank style='color:#2F92EE;'>#GIST#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=8032, encryptionId=bebe8032fc, topicName=GIST)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6e445632366, createdName=july_977, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1499830, encodeId=4f2314998309f, content=<a href='/topic/show?id=113c90584e6' target=_blank style='color:#2F92EE;'>#观察性研究#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=90584, encryptionId=113c90584e6, topicName=观察性研究)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=34519379140, createdName=shock_melon, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374009, encodeId=a93b3e40092e, content=学习了,学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=63, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/jW482SpianMayicTRbRZ5RzTetibytbqFDmFITWHyBWbxU7S9MYibgPSqvu0sYteH0N6zXqbU0Kf3Mbdb7yWM1Kud3zPgYBibE2SZ/0, createdBy=da7696924, createdName=qingfengqishi5, createdTime=Wed Oct 16 21:37:46 CST 2019, time=2019-10-16, status=1, ipAttribution=)]
    2021-03-19 ms5233340938792882

    学习咯

    0

  3. [GetPortalCommentsPageByObjectIdResponse(id=961795, encodeId=9166961e95b9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210430/a2efed564bb147eaa0e7fb82180c4ab4/baba5c9af28140fda35f998687f88a72.jpg, createdBy=52355490181, createdName=蒯玉娴, createdTime=Fri Apr 30 14:18:06 CST 2021, time=2021-04-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949612, encodeId=dd549496124a, content=学习咯, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://q.qlogo.cn/qqapp/1103841572/AFEE88F419F5C2EE00A4D2529684DE09/100, createdBy=94611950576, createdName=ms5233340938792882, createdTime=Fri Mar 19 23:00:43 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1671705, encodeId=d4e316e170522, content=<a href='/topic/show?id=c56c4051902' target=_blank style='color:#2F92EE;'>#回归分析#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=40519, encryptionId=c56c4051902, topicName=回归分析)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a46f26833520, createdName=cenghis, createdTime=Wed May 06 02:28:00 CST 2020, time=2020-05-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1905772, encodeId=9b651905e72d1, content=<a href='/topic/show?id=9dc4109964f' target=_blank style='color:#2F92EE;'>#Logistic#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10996, encryptionId=9dc4109964f, topicName=Logistic)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=afa4194, createdName=cenghis, createdTime=Tue Nov 26 22:28:00 CST 2019, time=2019-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1746742, encodeId=c6321e4674294, content=<a href='/topic/show?id=88e91099e10' target=_blank style='color:#2F92EE;'>#logistic回归#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10997, encryptionId=88e91099e10, topicName=logistic回归)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3c135838005, createdName=xlwang2703, createdTime=Wed Sep 30 03:28:00 CST 2020, time=2020-09-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374523, encodeId=a7bd3e4523a8, content=非常好,谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bd735216193, createdName=530888350_28847786, createdTime=Mon Oct 28 08:37:20 CST 2019, time=2019-10-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1455158, encodeId=2b421455158bd, content=<a href='/topic/show?id=bebe8032fc' target=_blank style='color:#2F92EE;'>#GIST#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=8032, encryptionId=bebe8032fc, topicName=GIST)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6e445632366, createdName=july_977, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1499830, encodeId=4f2314998309f, content=<a href='/topic/show?id=113c90584e6' target=_blank style='color:#2F92EE;'>#观察性研究#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=90584, encryptionId=113c90584e6, topicName=观察性研究)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=34519379140, createdName=shock_melon, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374009, encodeId=a93b3e40092e, content=学习了,学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=63, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/jW482SpianMayicTRbRZ5RzTetibytbqFDmFITWHyBWbxU7S9MYibgPSqvu0sYteH0N6zXqbU0Kf3Mbdb7yWM1Kud3zPgYBibE2SZ/0, createdBy=da7696924, createdName=qingfengqishi5, createdTime=Wed Oct 16 21:37:46 CST 2019, time=2019-10-16, status=1, ipAttribution=)]
  4. [GetPortalCommentsPageByObjectIdResponse(id=961795, encodeId=9166961e95b9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210430/a2efed564bb147eaa0e7fb82180c4ab4/baba5c9af28140fda35f998687f88a72.jpg, createdBy=52355490181, createdName=蒯玉娴, createdTime=Fri Apr 30 14:18:06 CST 2021, time=2021-04-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949612, encodeId=dd549496124a, content=学习咯, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://q.qlogo.cn/qqapp/1103841572/AFEE88F419F5C2EE00A4D2529684DE09/100, createdBy=94611950576, createdName=ms5233340938792882, createdTime=Fri Mar 19 23:00:43 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1671705, encodeId=d4e316e170522, content=<a href='/topic/show?id=c56c4051902' target=_blank style='color:#2F92EE;'>#回归分析#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=40519, encryptionId=c56c4051902, topicName=回归分析)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a46f26833520, createdName=cenghis, createdTime=Wed May 06 02:28:00 CST 2020, time=2020-05-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1905772, encodeId=9b651905e72d1, content=<a href='/topic/show?id=9dc4109964f' target=_blank style='color:#2F92EE;'>#Logistic#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10996, encryptionId=9dc4109964f, topicName=Logistic)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=afa4194, createdName=cenghis, createdTime=Tue Nov 26 22:28:00 CST 2019, time=2019-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1746742, encodeId=c6321e4674294, content=<a href='/topic/show?id=88e91099e10' target=_blank style='color:#2F92EE;'>#logistic回归#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10997, encryptionId=88e91099e10, topicName=logistic回归)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3c135838005, createdName=xlwang2703, createdTime=Wed Sep 30 03:28:00 CST 2020, time=2020-09-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374523, encodeId=a7bd3e4523a8, content=非常好,谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bd735216193, createdName=530888350_28847786, createdTime=Mon Oct 28 08:37:20 CST 2019, time=2019-10-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1455158, encodeId=2b421455158bd, content=<a href='/topic/show?id=bebe8032fc' target=_blank style='color:#2F92EE;'>#GIST#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=8032, encryptionId=bebe8032fc, topicName=GIST)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6e445632366, createdName=july_977, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1499830, encodeId=4f2314998309f, content=<a href='/topic/show?id=113c90584e6' target=_blank style='color:#2F92EE;'>#观察性研究#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=90584, encryptionId=113c90584e6, topicName=观察性研究)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=34519379140, createdName=shock_melon, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374009, encodeId=a93b3e40092e, content=学习了,学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=63, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/jW482SpianMayicTRbRZ5RzTetibytbqFDmFITWHyBWbxU7S9MYibgPSqvu0sYteH0N6zXqbU0Kf3Mbdb7yWM1Kud3zPgYBibE2SZ/0, createdBy=da7696924, createdName=qingfengqishi5, createdTime=Wed Oct 16 21:37:46 CST 2019, time=2019-10-16, status=1, ipAttribution=)]
    2019-11-26 cenghis
  5. [GetPortalCommentsPageByObjectIdResponse(id=961795, encodeId=9166961e95b9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210430/a2efed564bb147eaa0e7fb82180c4ab4/baba5c9af28140fda35f998687f88a72.jpg, createdBy=52355490181, createdName=蒯玉娴, createdTime=Fri Apr 30 14:18:06 CST 2021, time=2021-04-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949612, encodeId=dd549496124a, content=学习咯, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://q.qlogo.cn/qqapp/1103841572/AFEE88F419F5C2EE00A4D2529684DE09/100, createdBy=94611950576, createdName=ms5233340938792882, createdTime=Fri Mar 19 23:00:43 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1671705, encodeId=d4e316e170522, content=<a href='/topic/show?id=c56c4051902' target=_blank style='color:#2F92EE;'>#回归分析#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=40519, encryptionId=c56c4051902, topicName=回归分析)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a46f26833520, createdName=cenghis, createdTime=Wed May 06 02:28:00 CST 2020, time=2020-05-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1905772, encodeId=9b651905e72d1, content=<a href='/topic/show?id=9dc4109964f' target=_blank style='color:#2F92EE;'>#Logistic#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10996, encryptionId=9dc4109964f, topicName=Logistic)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=afa4194, createdName=cenghis, createdTime=Tue Nov 26 22:28:00 CST 2019, time=2019-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1746742, encodeId=c6321e4674294, content=<a href='/topic/show?id=88e91099e10' target=_blank style='color:#2F92EE;'>#logistic回归#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10997, encryptionId=88e91099e10, topicName=logistic回归)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3c135838005, createdName=xlwang2703, createdTime=Wed Sep 30 03:28:00 CST 2020, time=2020-09-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374523, encodeId=a7bd3e4523a8, content=非常好,谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bd735216193, createdName=530888350_28847786, createdTime=Mon Oct 28 08:37:20 CST 2019, time=2019-10-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1455158, encodeId=2b421455158bd, content=<a href='/topic/show?id=bebe8032fc' target=_blank style='color:#2F92EE;'>#GIST#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=8032, encryptionId=bebe8032fc, topicName=GIST)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6e445632366, createdName=july_977, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1499830, encodeId=4f2314998309f, content=<a href='/topic/show?id=113c90584e6' target=_blank style='color:#2F92EE;'>#观察性研究#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=90584, encryptionId=113c90584e6, topicName=观察性研究)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=34519379140, createdName=shock_melon, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374009, encodeId=a93b3e40092e, content=学习了,学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=63, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/jW482SpianMayicTRbRZ5RzTetibytbqFDmFITWHyBWbxU7S9MYibgPSqvu0sYteH0N6zXqbU0Kf3Mbdb7yWM1Kud3zPgYBibE2SZ/0, createdBy=da7696924, createdName=qingfengqishi5, createdTime=Wed Oct 16 21:37:46 CST 2019, time=2019-10-16, status=1, ipAttribution=)]
  6. [GetPortalCommentsPageByObjectIdResponse(id=961795, encodeId=9166961e95b9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210430/a2efed564bb147eaa0e7fb82180c4ab4/baba5c9af28140fda35f998687f88a72.jpg, createdBy=52355490181, createdName=蒯玉娴, createdTime=Fri Apr 30 14:18:06 CST 2021, time=2021-04-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949612, encodeId=dd549496124a, content=学习咯, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://q.qlogo.cn/qqapp/1103841572/AFEE88F419F5C2EE00A4D2529684DE09/100, createdBy=94611950576, createdName=ms5233340938792882, createdTime=Fri Mar 19 23:00:43 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1671705, encodeId=d4e316e170522, content=<a href='/topic/show?id=c56c4051902' target=_blank style='color:#2F92EE;'>#回归分析#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=40519, encryptionId=c56c4051902, topicName=回归分析)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a46f26833520, createdName=cenghis, createdTime=Wed May 06 02:28:00 CST 2020, time=2020-05-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1905772, encodeId=9b651905e72d1, content=<a href='/topic/show?id=9dc4109964f' target=_blank style='color:#2F92EE;'>#Logistic#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10996, encryptionId=9dc4109964f, topicName=Logistic)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=afa4194, createdName=cenghis, createdTime=Tue Nov 26 22:28:00 CST 2019, time=2019-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1746742, encodeId=c6321e4674294, content=<a href='/topic/show?id=88e91099e10' target=_blank style='color:#2F92EE;'>#logistic回归#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10997, encryptionId=88e91099e10, topicName=logistic回归)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3c135838005, createdName=xlwang2703, createdTime=Wed Sep 30 03:28:00 CST 2020, time=2020-09-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374523, encodeId=a7bd3e4523a8, content=非常好,谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bd735216193, createdName=530888350_28847786, createdTime=Mon Oct 28 08:37:20 CST 2019, time=2019-10-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1455158, encodeId=2b421455158bd, content=<a href='/topic/show?id=bebe8032fc' target=_blank style='color:#2F92EE;'>#GIST#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=8032, encryptionId=bebe8032fc, topicName=GIST)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6e445632366, createdName=july_977, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1499830, encodeId=4f2314998309f, content=<a href='/topic/show?id=113c90584e6' target=_blank style='color:#2F92EE;'>#观察性研究#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=90584, encryptionId=113c90584e6, topicName=观察性研究)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=34519379140, createdName=shock_melon, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374009, encodeId=a93b3e40092e, content=学习了,学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=63, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/jW482SpianMayicTRbRZ5RzTetibytbqFDmFITWHyBWbxU7S9MYibgPSqvu0sYteH0N6zXqbU0Kf3Mbdb7yWM1Kud3zPgYBibE2SZ/0, createdBy=da7696924, createdName=qingfengqishi5, createdTime=Wed Oct 16 21:37:46 CST 2019, time=2019-10-16, status=1, ipAttribution=)]
    2019-10-28 530888350_28847786

    非常好,谢谢分享

    0

  7. [GetPortalCommentsPageByObjectIdResponse(id=961795, encodeId=9166961e95b9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210430/a2efed564bb147eaa0e7fb82180c4ab4/baba5c9af28140fda35f998687f88a72.jpg, createdBy=52355490181, createdName=蒯玉娴, createdTime=Fri Apr 30 14:18:06 CST 2021, time=2021-04-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949612, encodeId=dd549496124a, content=学习咯, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://q.qlogo.cn/qqapp/1103841572/AFEE88F419F5C2EE00A4D2529684DE09/100, createdBy=94611950576, createdName=ms5233340938792882, createdTime=Fri Mar 19 23:00:43 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1671705, encodeId=d4e316e170522, content=<a href='/topic/show?id=c56c4051902' target=_blank style='color:#2F92EE;'>#回归分析#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=40519, encryptionId=c56c4051902, topicName=回归分析)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a46f26833520, createdName=cenghis, createdTime=Wed May 06 02:28:00 CST 2020, time=2020-05-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1905772, encodeId=9b651905e72d1, content=<a href='/topic/show?id=9dc4109964f' target=_blank style='color:#2F92EE;'>#Logistic#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10996, encryptionId=9dc4109964f, topicName=Logistic)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=afa4194, createdName=cenghis, createdTime=Tue Nov 26 22:28:00 CST 2019, time=2019-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1746742, encodeId=c6321e4674294, content=<a href='/topic/show?id=88e91099e10' target=_blank style='color:#2F92EE;'>#logistic回归#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10997, encryptionId=88e91099e10, topicName=logistic回归)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3c135838005, createdName=xlwang2703, createdTime=Wed Sep 30 03:28:00 CST 2020, time=2020-09-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374523, encodeId=a7bd3e4523a8, content=非常好,谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bd735216193, createdName=530888350_28847786, createdTime=Mon Oct 28 08:37:20 CST 2019, time=2019-10-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1455158, encodeId=2b421455158bd, content=<a href='/topic/show?id=bebe8032fc' target=_blank style='color:#2F92EE;'>#GIST#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=8032, encryptionId=bebe8032fc, topicName=GIST)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6e445632366, createdName=july_977, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1499830, encodeId=4f2314998309f, content=<a href='/topic/show?id=113c90584e6' target=_blank style='color:#2F92EE;'>#观察性研究#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=90584, encryptionId=113c90584e6, topicName=观察性研究)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=34519379140, createdName=shock_melon, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374009, encodeId=a93b3e40092e, content=学习了,学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=63, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/jW482SpianMayicTRbRZ5RzTetibytbqFDmFITWHyBWbxU7S9MYibgPSqvu0sYteH0N6zXqbU0Kf3Mbdb7yWM1Kud3zPgYBibE2SZ/0, createdBy=da7696924, createdName=qingfengqishi5, createdTime=Wed Oct 16 21:37:46 CST 2019, time=2019-10-16, status=1, ipAttribution=)]
    2019-10-18 july_977
  8. [GetPortalCommentsPageByObjectIdResponse(id=961795, encodeId=9166961e95b9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210430/a2efed564bb147eaa0e7fb82180c4ab4/baba5c9af28140fda35f998687f88a72.jpg, createdBy=52355490181, createdName=蒯玉娴, createdTime=Fri Apr 30 14:18:06 CST 2021, time=2021-04-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949612, encodeId=dd549496124a, content=学习咯, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://q.qlogo.cn/qqapp/1103841572/AFEE88F419F5C2EE00A4D2529684DE09/100, createdBy=94611950576, createdName=ms5233340938792882, createdTime=Fri Mar 19 23:00:43 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1671705, encodeId=d4e316e170522, content=<a href='/topic/show?id=c56c4051902' target=_blank style='color:#2F92EE;'>#回归分析#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=40519, encryptionId=c56c4051902, topicName=回归分析)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a46f26833520, createdName=cenghis, createdTime=Wed May 06 02:28:00 CST 2020, time=2020-05-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1905772, encodeId=9b651905e72d1, content=<a href='/topic/show?id=9dc4109964f' target=_blank style='color:#2F92EE;'>#Logistic#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10996, encryptionId=9dc4109964f, topicName=Logistic)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=afa4194, createdName=cenghis, createdTime=Tue Nov 26 22:28:00 CST 2019, time=2019-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1746742, encodeId=c6321e4674294, content=<a href='/topic/show?id=88e91099e10' target=_blank style='color:#2F92EE;'>#logistic回归#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10997, encryptionId=88e91099e10, topicName=logistic回归)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3c135838005, createdName=xlwang2703, createdTime=Wed Sep 30 03:28:00 CST 2020, time=2020-09-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374523, encodeId=a7bd3e4523a8, content=非常好,谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bd735216193, createdName=530888350_28847786, createdTime=Mon Oct 28 08:37:20 CST 2019, time=2019-10-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1455158, encodeId=2b421455158bd, content=<a href='/topic/show?id=bebe8032fc' target=_blank style='color:#2F92EE;'>#GIST#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=8032, encryptionId=bebe8032fc, topicName=GIST)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6e445632366, createdName=july_977, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1499830, encodeId=4f2314998309f, content=<a href='/topic/show?id=113c90584e6' target=_blank style='color:#2F92EE;'>#观察性研究#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=90584, encryptionId=113c90584e6, topicName=观察性研究)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=34519379140, createdName=shock_melon, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374009, encodeId=a93b3e40092e, content=学习了,学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=63, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/jW482SpianMayicTRbRZ5RzTetibytbqFDmFITWHyBWbxU7S9MYibgPSqvu0sYteH0N6zXqbU0Kf3Mbdb7yWM1Kud3zPgYBibE2SZ/0, createdBy=da7696924, createdName=qingfengqishi5, createdTime=Wed Oct 16 21:37:46 CST 2019, time=2019-10-16, status=1, ipAttribution=)]
  9. [GetPortalCommentsPageByObjectIdResponse(id=961795, encodeId=9166961e95b9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210430/a2efed564bb147eaa0e7fb82180c4ab4/baba5c9af28140fda35f998687f88a72.jpg, createdBy=52355490181, createdName=蒯玉娴, createdTime=Fri Apr 30 14:18:06 CST 2021, time=2021-04-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949612, encodeId=dd549496124a, content=学习咯, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://q.qlogo.cn/qqapp/1103841572/AFEE88F419F5C2EE00A4D2529684DE09/100, createdBy=94611950576, createdName=ms5233340938792882, createdTime=Fri Mar 19 23:00:43 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1671705, encodeId=d4e316e170522, content=<a href='/topic/show?id=c56c4051902' target=_blank style='color:#2F92EE;'>#回归分析#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=40519, encryptionId=c56c4051902, topicName=回归分析)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a46f26833520, createdName=cenghis, createdTime=Wed May 06 02:28:00 CST 2020, time=2020-05-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1905772, encodeId=9b651905e72d1, content=<a href='/topic/show?id=9dc4109964f' target=_blank style='color:#2F92EE;'>#Logistic#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10996, encryptionId=9dc4109964f, topicName=Logistic)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=afa4194, createdName=cenghis, createdTime=Tue Nov 26 22:28:00 CST 2019, time=2019-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1746742, encodeId=c6321e4674294, content=<a href='/topic/show?id=88e91099e10' target=_blank style='color:#2F92EE;'>#logistic回归#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10997, encryptionId=88e91099e10, topicName=logistic回归)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3c135838005, createdName=xlwang2703, createdTime=Wed Sep 30 03:28:00 CST 2020, time=2020-09-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374523, encodeId=a7bd3e4523a8, content=非常好,谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bd735216193, createdName=530888350_28847786, createdTime=Mon Oct 28 08:37:20 CST 2019, time=2019-10-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1455158, encodeId=2b421455158bd, content=<a href='/topic/show?id=bebe8032fc' target=_blank style='color:#2F92EE;'>#GIST#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=8032, encryptionId=bebe8032fc, topicName=GIST)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6e445632366, createdName=july_977, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1499830, encodeId=4f2314998309f, content=<a href='/topic/show?id=113c90584e6' target=_blank style='color:#2F92EE;'>#观察性研究#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=90584, encryptionId=113c90584e6, topicName=观察性研究)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=34519379140, createdName=shock_melon, createdTime=Fri Oct 18 07:28:00 CST 2019, time=2019-10-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=374009, encodeId=a93b3e40092e, content=学习了,学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=63, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/jW482SpianMayicTRbRZ5RzTetibytbqFDmFITWHyBWbxU7S9MYibgPSqvu0sYteH0N6zXqbU0Kf3Mbdb7yWM1Kud3zPgYBibE2SZ/0, createdBy=da7696924, createdName=qingfengqishi5, createdTime=Wed Oct 16 21:37:46 CST 2019, time=2019-10-16, status=1, ipAttribution=)]
    2019-10-16 qingfengqishi5

    学习了,学习了

    0

相关资讯

二分类logistic回归中纳入多少自变量合适?

在对临床数据的探索分析工作中,我们经常会使用多因素logistic回归分析去探索疾病的危险因素,也可以用它来做预测。但是每每在使用logistic回归分析的时候,我们都会纠结应该选哪些作为自变量呢?选多少个合适呢? 选哪些作为自变量,这个问题比较简单。一般情况下,我都是选择那些单因素分析中与因变量有关的自变量进入回归方程。但同时需要提醒,如果某些自变量从作用机制或临床经验上来看,

Logistic回归(1)

本章课程围绕Logistic回归展开,一共分为四小节。第一节课程,通过一幅图形象生动的了解Logistic回归的本质及思想。

Logistic回归(2)

本节课程讲解Logistic回归模型的建立,以及一些重要的细节问题,包括多重共线性、变量筛选方法、交互作用、哑变量设置、样本量等。

BMJ:近期感染降低类风湿关节炎患病风险

近期感染影响类风湿关节炎(RA)患病风险吗?读完这篇研究告诉你答案。研究者使用基于人群的个体控制研究EIRA(n=6401),以观察和健康对照组相比,RA的发病风险。该研究对研究对象按照性别、年龄、时间、居住地区域进行匹配。入组前的两年内有无发生胃肠炎、尿路感染、生殖器感染、前列腺炎、鼻窦炎、扁桃体炎、肺炎的感染情况被统计记录,使用假设Logistic 回归分析来计算OR值,吸烟情况和社会经济地位

Logistic回归分析中,连续型变量OR值太大,是什么原因?

Logistic回归是临床研究中最常见的多因素分析方法之一,但是,各类问题也十分多见的。其中有一个问题经常困扰,即分析时发现某个变量的OR值过大的问题。一般来说,大部分情况,一个因素对结局的影响都不可能过大(因为,都是各种因素的综合效应)。如果是超大样本分析中,OR值很少有超过2的。而在日常分析中,OR经常会达到10以上,甚至100以上,这是什么回事呢?看一个案例: 下面是几种处理方

Logistic回归(3)

本节课程讲解Logistic回归中的优势、RR/OR/HR的含义,以及在医学中的应用。