网状 Meta 分析实用教程(下).rar

上传者: 16790931 | 上传时间: 2021-04-05 13:05:50 | 文件大小: 928.68MB | 文件类型: RAR
一门网状Meta分析实用教程课程是一门值得观看和学习的,当下2020年的趋势告诉我们,多掌握一门技能是完全有必要的,世界和社会都不缺有多种才能工作人员。。学习不在束缚领域,多才多艺才是生活所需。

文件下载

资源详情

[{"title":"( 39 个子文件 928.68MB ) 网状 Meta 分析实用教程(下).rar","children":[{"title":"2.14 NMA 相关图形的绘制:R 实操-2(不一致性异质性检验、概率图、累积概率图).MP4 <span style='color:#111;'> 63.29MB </span>","children":null,"spread":false},{"title":"2.11 NMA 相关图形的绘制:STATA 软件实操-2(不一致性检验图、校正比较漏斗图).mp4 <span style='color:#111;'> 36.40MB </span>","children":null,"spread":false},{"title":"2.17 NMA结果的 GRADE 证据分级:应用解析及实例示范.MP4 <span style='color:#111;'> 161.87MB </span>","children":null,"spread":false},{"title":"2.16 Cochrane 风险偏倚评估工具:ROB 的使用.MP4 <span style='color:#111;'> 96.87MB </span>","children":null,"spread":false},{"title":"2.20 网状 Meta 分析经典文献解读.mp4 <span style='color:#111;'> 57.33MB </span>","children":null,"spread":false},{"title":"2.12 NMA 相关图形的绘制:STATA 软件实操-3(倒三角图、预测区间图、概率图、两结局排序.mp4 <span style='color:#111;'> 68.81MB </span>","children":null,"spread":false},{"title":"3.1 网状 Meta 分析报告规范.MP4 <span style='color:#111;'> 80.47MB </span>","children":null,"spread":false},{"title":"2.13 NMA 相关图形的绘制:R 实操-1(软件安装,网状证据图、收敛诊断图、森林图等).MP4 <span style='color:#111;'> 77.24MB </span>","children":null,"spread":false},{"title":"2.19 网状 Meta 分析常见误区辨析.MP4 <span style='color:#111;'> 131.23MB </span>","children":null,"spread":false},{"title":"2.15 NMA 相关图形的绘制:R 实操-3(模型比较、Two dimensional plot、热图等).mp4 <span style='color:#111;'> 60.37MB </span>","children":null,"spread":false},{"title":"随堂资料.7z <span style='color:#111;'> 802.55KB </span>","children":null,"spread":false},{"title":"网状 Meta 分析实用教程-讲义等辅助资料","children":[{"title":"2.9 贝叶斯NMA分析:WinBUGS 软件实操.pdf <span style='color:#111;'> 1015.58KB </span>","children":null,"spread":false},{"title":"2.4-2.7 基于频率学方法的网状 meta 分析.pdf <span style='color:#111;'> 1.29MB </span>","children":null,"spread":false},{"title":"2.1 数据提取整理和录入.pdf <span style='color:#111;'> 1.37MB </span>","children":null,"spread":false},{"title":"1.6 NMA基础知识-三个基本假设.pdf <span style='color:#111;'> 1.27MB </span>","children":null,"spread":false},{"title":"2.2 数据提取常见问题对策及心得分享.pdf <span style='color:#111;'> 953.26KB </span>","children":null,"spread":false},{"title":"1.7 NMA基础知识-间接比较的基本原理.pdf <span style='color:#111;'> 1.51MB </span>","children":null,"spread":false},{"title":"1.1-1.3 课程寄语.pdf <span style='color:#111;'> 4.15MB </span>","children":null,"spread":false},{"title":"2.8 贝叶斯 meta 分析相关理论基础.pdf <span style='color:#111;'> 1.58MB </span>","children":null,"spread":false},{"title":"其他辅助学习资料","children":[{"title":"2.9 基于贝叶斯NMA分析辅助资料.zip <span style='color:#111;'> 2.65MB </span>","children":null,"spread":false},{"title":"2.2 数据提取:特殊情况文献举例.pdf <span style='color:#111;'> 498.18KB </span>","children":null,"spread":false},{"title":"2.2 循证医学数据提取Excel万能换算模板.xlsx <span style='color:#111;'> 338.99KB </span>","children":null,"spread":false},{"title":"2.8 贝叶斯 meta 分析相关理论基础(WinBUGS代码)","children":[{"title":"二分类数据-基于率.txt <span style='color:#111;'> 650B </span>","children":null,"spread":false},{"title":"二分类数据-基于效应值.txt <span style='color:#111;'> 683B </span>","children":null,"spread":false}],"spread":false},{"title":"2.4-2.7 频率NMA分析辅助资料(代码+数据)","children":[{"title":"数据","children":[{"title":"smoking-contrast.xls <span style='color:#111;'> 23.00KB </span>","children":null,"spread":false},{"title":"smoking-arm.xls <span style='color:#111;'> 28.00KB </span>","children":null,"spread":false},{"title":"parkinson--arm.xlsx <span style='color:#111;'> 8.62KB </span>","children":null,"spread":false}],"spread":false},{"title":"程序","children":[{"title":"stata-连续(1).txt <span style='color:#111;'> 1.51KB </span>","children":null,"spread":false},{"title":"stata-二分类.txt <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"ADDIS-1.16.5软件.zip <span style='color:#111;'> 15.32MB </span>","children":null,"spread":false},{"title":"2.1 数据提取表举例.docx <span style='color:#111;'> 16.56KB </span>","children":null,"spread":false},{"title":"2.10-2.12 NMA相关图形绘制-STATA 软件实操-辅助资料","children":[{"title":"数据","children":[{"title":"rank_prob(5).txt <span style='color:#111;'> 1.63KB </span>","children":null,"spread":false},{"title":"clusterank.xlsx <span style='color:#111;'> 9.57KB </span>","children":null,"spread":false},{"title":"smoking-arm.xls <span style='color:#111;'> 28.00KB </span>","children":null,"spread":false}],"spread":false},{"title":"累积概率图数据整理格式及代码-STATA.xls <span style='color:#111;'> 81.00KB </span>","children":null,"spread":false},{"title":"NMA图形绘制代码-STATA.txt <span style='color:#111;'> 5.14KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"1.4-1.5 NMA基础知识-概念和基本流程.pdf <span style='color:#111;'> 2.75MB </span>","children":null,"spread":false},{"title":"2.10-2.12 NMA相关图形绘制-STATA 软件实操.pdf <span style='color:#111;'> 844.39KB </span>","children":null,"spread":false}],"spread":false},{"title":"2.18 ADDIS 软件在网状 Meta 分析中的应用.mp4 <span style='color:#111;'> 113.81MB </span>","children":null,"spread":false}],"spread":true}]

评论信息

  • A2184067910846 :
    用户下载后在一定时间内未进行评价,系统默认好评。
    2021-08-09

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明