亚组分析森林图P interaction 是什么意思？
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q5.itc.cn/q_70/images01/20240517/b852313e06134ac59a4f957007189f9c.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">详情请点击右方：</strong><a style="color: black;"><strong style="color: blue;"><span style="color: black;">瞧瞧</span>文献，顺便发了人生中的<span style="color: black;">第1</span>篇SCI！欢迎参加Meta分析培训课程 </strong></a></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q0.itc.cn/q_70/images01/20240517/f8e4e8ed58e8424494c413ce6f61ae7b.png" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">此刻</span>亚组分析<span style="color: black;">好似</span>越来越流行，<span style="color: black;">没</span>论是观察性<span style="color: black;">科研</span>还是RCT<span style="color: black;">科研</span>，亚组分析<span style="color: black;">通常</span>配备森林图。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">除了<span style="color: black;">基本</span>回归的效应值与95%CI和P值，许多<span style="color: black;">文案</span>表格中还会有P interaction，看上去似乎更加高级。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;"><span style="color: black;">例如</span>Lancet这篇<span style="color: black;">文案</span>：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q7.itc.cn/images01/20240517/14c63de7fc8c466aaa9530ac59c0e6fb.png" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">那样</span>P interaction值有什么含义呢？<span style="color: black;">详细</span>应该<span style="color: black;">怎样</span>计算呢？</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">首要</span>，<strong style="color: blue;"><span style="color: black;">咱们</span>要明白亚组分析的目的是什么？</strong>目的是为了检验<span style="color: black;">干涉</span>的效果<span style="color: black;">是不是</span>受到某个基线特征（<span style="color: black;">亦</span><span style="color: black;">便是</span>亚组变量）的影响，<strong style="color: blue;">即<span style="color: black;">干涉</span>和亚组变量<span style="color: black;">是不是</span>有交互<span style="color: black;">功效</span>。<span style="color: black;">这儿</span>的交互<span style="color: black;">功效</span>就<span style="color: black;">经过</span>P interaction来<span style="color: black;">表现</span>啦！</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">把握</span>了理论部分，<span style="color: black;">咱们</span>接着<span style="color: black;">仔细</span>讲讲<span style="color: black;">怎样</span>计算亚组分析的P interaction！</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">网络上<span style="color: black;">关联</span>教程比较多，有SPSS计算，SPSS联合excel计算，R语言<span style="color: black;">各样</span>包计算，stata计算，算法<span style="color: black;">亦</span>层出不穷，<span style="color: black;">然则</span>都<span style="color: black;">不足</span>简便，<span style="color: black;">因此呢</span>，<strong style="color: blue;"><span style="color: black;">这儿</span>为<span style="color: black;">大众</span><span style="color: black;">举荐</span>一个<span style="color: black;">能够</span>3分钟菜单式操作计算P interaction的方式——风暴统计！</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">（百度、必应Bing搜索“风暴统计”）</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q7.itc.cn/images01/20240517/4fd4ac6c8f7448968b59b13b3527f3fd.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<h1 style="color: black; text-align: left; margin-bottom: 10px;"><strong style="color: blue;">1.进入风暴统计平台</strong></h1>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">首要</span>，打开风暴统计平台，依次点击<strong style="color: blue;">“风暴智能统计”</strong>—“<strong style="color: blue;">亚组分析与森林图”</strong>—<strong style="color: blue;">"亚组分析与森林图"</strong>，进入分析板块。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">这儿</span><span style="color: black;">咱们</span><span style="color: black;">再也不</span>赘述数据的导入与整理过程，<span style="color: black;">仔细</span>教程<span style="color: black;">大众</span><span style="color: black;">能够</span>点击下方链接：</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><a style="color: black;"><span style="color: black;">仔细</span>指南！风暴统计<span style="color: black;">怎样</span><span style="color: black;">有效</span>导入数据，统计分析快人一步？</a></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><a style="color: black;"><span style="color: black;">仔细</span>版！<span style="color: black;">怎样</span>利用风暴统计进行数据的整理转换？</a></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q6.itc.cn/q_70/images01/20240517/46d1dee0518147d69dd064e05ca669e0.png" style="width: 50%; margin-bottom: 20px;"></p>
<h1 style="color: black; text-align: left; margin-bottom: 10px;"><strong style="color: blue;">2.亚组森林图的绘制</strong></h1>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">风暴统计平台<span style="color: black;">能够</span>一站式完成<span style="color: black;">平常</span>三大回归的亚组分析——线性、logistic、COX统统搞定！</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q5.itc.cn/images01/20240517/c8e4ed9d80c54897abb713eeccbe9b23.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">下面实操，<span style="color: black;">咱们</span>先以logistic回归为例进行展示！</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">Logistic回归亚组分析中，只<span style="color: black;">必须</span>完成连续性因变量、暴露<span style="color: black;">原因</span>、亚组变量的<span style="color: black;">选取</span>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">因变量：</strong>即Logistic回归中的因变量/<span style="color: black;">结果</span>变量，必须是<strong style="color: blue;">二<span style="color: black;">归类</span>变量，取值为0、1</strong>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">暴露<span style="color: black;">原因</span>：</strong>即<span style="color: black;">咱们</span><span style="color: black;">科研</span>重点关注的<span style="color: black;">重要</span>自变量/焦点<span style="color: black;">原因</span>，平台限制为<strong style="color: blue;">二<span style="color: black;">归类</span>变量</strong>。（其实亚组分析并不限制暴露的变量类型，<span style="color: black;">不外</span>是在不同人群中开展回归，<span style="color: black;">然则</span>森林图的绘制只适合二<span style="color: black;">归类</span>变量，<span style="color: black;">因此呢</span>平台做了限制）</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">亚组变量：</strong>即在<span style="color: black;">那些</span>不同人群中开展分析，例如：<span style="color: black;">选取</span>性别<span style="color: black;">做为</span>亚组变量，就<span style="color: black;">表率</span>分别在男性、女性群体中开展回归分析。<strong style="color: blue;">亚组变量<span style="color: black;">必要</span>是<span style="color: black;">归类</span>型变量，<span style="color: black;">能够</span><span style="color: black;">同期</span><span style="color: black;">选取</span>多个。</strong><span style="color: black;">这儿</span><span style="color: black;">咱们</span><span style="color: black;">同期</span><span style="color: black;">选取</span>"sex"，"race"，"level"3个变量。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q2.itc.cn/images01/20240517/70f284922c224d02ba8ba8fed3aa94d4.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">选取</span>完毕后，平台就直接给出单<span style="color: black;">原因</span>回归分析结果以及森林图了，P for interaction就<span style="color: black;">包含</span>在内！</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q7.itc.cn/images01/20240517/ef1d060ad862442598657305b8ff0c8d.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q6.itc.cn/images01/20240517/7a68e3bc1a264779a8e4b06aa47247cb.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">倘若</span>亚组分析，<strong style="color: blue;"><span style="color: black;">必须</span><span style="color: black;">调节</span>其他协变量进行多<span style="color: black;">原因</span>回归分析</strong>，<span style="color: black;">能够</span>在协变量设置<span style="color: black;">这儿</span><span style="color: black;">选取</span><strong style="color: blue;">"自定义"</strong>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q9.itc.cn/images01/20240517/0fa435a9626a4d02adc0b7a31b2f55ae.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">接着在下拉框中，勾选<span style="color: black;">必须</span><span style="color: black;">调节</span>的协变量。接着就会更新出多<span style="color: black;">原因</span>亚组分析表格以及森林图啦！</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q1.itc.cn/q_70/images01/20240517/282d74291d4a46b980e0acf0fcfee3d1.png" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">还<span style="color: black;">能够</span>调节底纹以及P值，交互P值的展示方式，分分钟达到顶刊<span style="color: black;">发帖</span>水准配图！</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q9.itc.cn/images01/20240517/383113de7df743b5a773d3fe04f900b1.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q4.itc.cn/q_70/images01/20240517/b83478fe18134e53a9e1bdc7b34c78bb.png" style="width: 50%; margin-bottom: 20px;"></p>
<h1 style="color: black; text-align: left; margin-bottom: 10px;"><strong style="color: blue;">3.下载结果</strong></h1>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">最后在曲线下载设置中，<span style="color: black;">选取</span>下载<span style="color: black;">照片</span>，<span style="color: black;">保留</span>类型，曲线页面，中文字体。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">注：</strong><span style="color: black;">倘若</span>图形<span style="color: black;">表示</span>不完全，<span style="color: black;">能够</span>在曲线页面设置自定义。自由<span style="color: black;">调节</span><span style="color: black;">照片</span>的长度和宽度，<strong style="color: blue;">避免下载图形不完整的<span style="color: black;">状况</span></strong>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">选取</span>完毕后，就<span style="color: black;">能够</span>下载森林图或亚组分析表格啦！</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">最后下载的pdf<span style="color: black;">亦</span>是<span style="color: black;">非常</span>的清晰，<strong style="color: blue;"><span style="color: black;">倘若</span><span style="color: black;">必须</span>将变量名修改为中文，<span style="color: black;">亦</span><span style="color: black;">能够</span>在pdf中直接编辑修改，非常<span style="color: black;">方便</span>！</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q5.itc.cn/q_70/images01/20240517/5a14dd6253c14ac3887823f4dffd7ca0.png" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q7.itc.cn/q_70/images01/20240517/90988dc7b2ec40ceb63b07a03dd88168.png" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q4.itc.cn/q_70/images01/20240517/083c59f11c7043db88b8aab7adbf36d7.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">详情请点击右方：</strong><a style="color: black;"><strong style="color: blue;">结构方程模型培训班，两天<span style="color: black;">把握</span><span style="color: black;">中间商</span>分析、路径分析等！！！ </strong></a><a style="color: black;"><span style="color: black;">返回<span style="color: black;">外链论坛：http://www.fok120.com/</span>，查看更</span></a>多</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">责任编辑：网友投稿</span></p>
论坛的成功是建立在我们诚恳、务实、高效、创新和团结合作基础上，我们要把这种精神传递下去。
页:
[1]