病例对照研究的样本量计算(PASS软件)

2017-05-13 MedSci MedSci原创

1、问题与数据 某研究者拟探讨吸烟与肺癌的关系,考虑到年龄可能和肺癌的发生有关,因此设计一项按照年龄1:1匹配的病例对照研究。选择肺癌患者为病例组,并对于每一个病例组研究对象,选择一个与其年龄差在±3岁以内的非肺癌患者为对照组研究对象。预期OR=2.0,对照组人群中的吸烟率约为20%,设α=0.05,β=0.10。请问如何估计病例组和对照组的样本量? 2、对问题的分析 研究者的设计为病例对照

1、问题与数据 某研究者拟探讨吸烟与肺癌的关系,考虑到年龄可能和肺癌的发生有关,因此设计一项按照年龄1:1匹配的病例对照研究。选择肺癌患者为病例组,并对于每一个病例组研究对象,选择一个与其年龄差在±3岁以内的非肺癌患者为对照组研究对象。预期OR=2.0,对照组人群中的吸烟率约为20%,设α=0.05,β=0.10。请问如何估计病例组和对照组的样本量? 2、对问题的分析 研究者的设计为病例对照研究,并且病例组和对照组按照年龄1:1匹配,因此该设计类型为匹配设计的病例对照研究。病例对照研究中,我们把想要探讨的危险因素称为暴露。 要计算样本量,首先应当拟定拟定检验水准α和检验效能1-β。一般情况下,我们默认选取α=0.05,β=0.10。此外,还需要根据既往文献或预试验的结果,给定两个参数:1)预期的OR值;2)对照组人群中(非肺癌患者)有暴露因素的研究对象(对照人群中吸烟者)的比例;3)病例与第一个匹配的对照之间的危险因素相关程度Phi。(一般情况下可令Phi为0.2) 如果我们关注的暴露因素有多个,则计算样本量的原则一般如下:1)以最想关注的那个暴露因素计算得到的样本量为准;2)计算所有

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  1. 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createdBy=8ae138776909, createdName=amyloid, createdTime=Sun Mar 18 21:16:00 CST 2018, time=2018-03-18, status=1, ipAttribution=)]
    2022-05-12 ms6000001510697483

    请问如果有多个暴露因素样本量应该怎么计算呢

    0

  2. 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createdBy=8ae138776909, createdName=amyloid, createdTime=Sun Mar 18 21:16:00 CST 2018, time=2018-03-18, status=1, ipAttribution=)]
    2021-11-02 ms7000000743859307

    谢谢分享

    0

  3. 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createdBy=8ae138776909, createdName=amyloid, createdTime=Sun Mar 18 21:16:00 CST 2018, time=2018-03-18, status=1, ipAttribution=)]
    2021-05-09 1480d52fm40(暂无昵称)

    病例对照

    0

  4. 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attachment=null, authenticateStatus=null, createdAvatar=http://thirdwx.qlogo.cn/mmopen/vi_32/Q0j4TwGTfTIyUSvLt5NiasQztd1IIAYKtTTicgzwDXtzBmQdgz4pJ4rjpaYAMiaA24UJfOoRzvq5at8W2lTCxJtgQ/132, createdBy=c3102411644, createdName=lawer, createdTime=Wed Aug 01 18:04:43 CST 2018, time=2018-08-01, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1669365, encodeId=ffc2166936548, content=<a href='/topic/show?id=9d7b620395d' target=_blank style='color:#2F92EE;'>#样本#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=38, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=62039, encryptionId=9d7b620395d, topicName=样本)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f33226554040, createdName=zhzhxiang, createdTime=Tue Sep 19 18:16:00 CST 2017, time=2017-09-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1756155, encodeId=afd31e56155eb, content=<a href='/topic/show?id=cc81e0775ab' 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createdBy=8ae138776909, createdName=amyloid, createdTime=Sun Mar 18 21:16:00 CST 2018, time=2018-03-18, status=1, ipAttribution=)]
    2021-04-22 1202cbb3m56暂无昵称

    看不到,怎么可以的积分呢

    0

  5. 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objectType=article, channel=null, level=null, likeNumber=55, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=d74a5264746, createdName=1480d52fm40(暂无昵称), createdTime=Sun May 09 23:01:07 CST 2021, time=2021-05-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=959302, encodeId=70f39593020e, content=看不到,怎么可以的积分呢, beContent=null, objectType=article, channel=null, level=null, likeNumber=66, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=/v1.0.0/img/user_icon.png, createdBy=24a42159834, createdName=1202cbb3m56暂无昵称, createdTime=Thu Apr 22 10:09:57 CST 2021, time=2021-04-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=335579, encodeId=14873355e92c, content=为什么算出来不对?, beContent=null, objectType=article, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://thirdwx.qlogo.cn/mmopen/vi_32/Q0j4TwGTfTIyUSvLt5NiasQztd1IIAYKtTTicgzwDXtzBmQdgz4pJ4rjpaYAMiaA24UJfOoRzvq5at8W2lTCxJtgQ/132, createdBy=c3102411644, createdName=lawer, createdTime=Wed Aug 01 18:04:43 CST 2018, time=2018-08-01, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1669365, encodeId=ffc2166936548, content=<a href='/topic/show?id=9d7b620395d' target=_blank style='color:#2F92EE;'>#样本#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=38, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=62039, encryptionId=9d7b620395d, topicName=样本)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f33226554040, createdName=zhzhxiang, createdTime=Tue Sep 19 18:16:00 CST 2017, time=2017-09-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1756155, encodeId=afd31e56155eb, content=<a href='/topic/show?id=cc81e0775ab' target=_blank style='color:#2F92EE;'>#病例对照#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=58, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=70775, encryptionId=cc81e0775ab, topicName=病例对照)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=064637073830, createdName=xugc, createdTime=Wed Dec 06 18:16:00 CST 2017, time=2017-12-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=234418, encodeId=e6d923441819, content=学习了谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=69, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/oLAjfB7s1ib06iaV3D9Tg5Kzuf9u71gZhPYMiajRtENwicoAABeQtfXOlic8ibhYSy6DvJZWUDVtjRvTfqBffr1XJ6JLtFB5kHicthl/0, createdBy=08bb2061153, createdName=189****7206, createdTime=Thu Aug 17 11:47:04 CST 2017, time=2017-08-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1984125, encodeId=2b3b198412544, content=<a href='/topic/show?id=77dee0776b6' target=_blank style='color:#2F92EE;'>#病例对照研究#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=70776, encryptionId=77dee0776b6, topicName=病例对照研究)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a35a460, createdName=fengyi812, createdTime=Mon Nov 27 16:16:00 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1775309, encodeId=8f301e7530905, content=<a href='/topic/show?id=937d46650bf' target=_blank style='color:#2F92EE;'>#对照#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=32, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=46650, encryptionId=937d46650bf, topicName=对照)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae138776909, createdName=amyloid, createdTime=Sun Mar 18 21:16:00 CST 2018, time=2018-03-18, status=1, ipAttribution=)]
    2018-08-01 lawer

    为什么算出来不对?

    0

  6. [GetPortalCommentsPageByObjectIdResponse(id=1218957, encodeId=7cce121895e03, content=请问如果有多个暴露因素样本量应该怎么计算呢, beContent=null, objectType=article, channel=null, level=null, likeNumber=48, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=3ce15711580, createdName=ms6000001510697483, createdTime=Thu May 12 08:42:10 CST 2022, time=2022-05-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1066141, encodeId=e3551066141a5, content=谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=/v1.0.0/img/user_icon.png, createdBy=9e875398555, createdName=ms7000000743859307, createdTime=Tue Nov 02 09:51:52 CST 2021, time=2021-11-02, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=964125, encodeId=abac96412561, content=病例对照, beContent=null, 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target=_blank style='color:#2F92EE;'>#病例对照#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=58, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=70775, encryptionId=cc81e0775ab, topicName=病例对照)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=064637073830, createdName=xugc, createdTime=Wed Dec 06 18:16:00 CST 2017, time=2017-12-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=234418, encodeId=e6d923441819, content=学习了谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=69, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/oLAjfB7s1ib06iaV3D9Tg5Kzuf9u71gZhPYMiajRtENwicoAABeQtfXOlic8ibhYSy6DvJZWUDVtjRvTfqBffr1XJ6JLtFB5kHicthl/0, createdBy=08bb2061153, createdName=189****7206, createdTime=Thu Aug 17 11:47:04 CST 2017, time=2017-08-17, status=1, ipAttribution=), 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createdBy=8ae138776909, createdName=amyloid, createdTime=Sun Mar 18 21:16:00 CST 2018, time=2018-03-18, status=1, ipAttribution=)]
    2017-09-19 zhzhxiang
  7. 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target=_blank style='color:#2F92EE;'>#病例对照#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=58, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=70775, encryptionId=cc81e0775ab, topicName=病例对照)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=064637073830, createdName=xugc, createdTime=Wed Dec 06 18:16:00 CST 2017, time=2017-12-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=234418, encodeId=e6d923441819, content=学习了谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=69, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/oLAjfB7s1ib06iaV3D9Tg5Kzuf9u71gZhPYMiajRtENwicoAABeQtfXOlic8ibhYSy6DvJZWUDVtjRvTfqBffr1XJ6JLtFB5kHicthl/0, createdBy=08bb2061153, createdName=189****7206, createdTime=Thu Aug 17 11:47:04 CST 2017, time=2017-08-17, status=1, ipAttribution=), 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createdBy=8ae138776909, createdName=amyloid, createdTime=Sun Mar 18 21:16:00 CST 2018, time=2018-03-18, status=1, ipAttribution=)]
    2017-12-06 xugc
  8. 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createdBy=8ae138776909, createdName=amyloid, createdTime=Sun Mar 18 21:16:00 CST 2018, time=2018-03-18, status=1, ipAttribution=)]
    2017-08-17 189****7206

    学习了谢谢分享

    0

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createdBy=8ae138776909, createdName=amyloid, createdTime=Sun Mar 18 21:16:00 CST 2018, time=2018-03-18, status=1, ipAttribution=)]
    2018-03-18 amyloid

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