Dr. I-Chen Tsai蔡依橙醫師Research Mentoring研究指導室

Meta-Analysis統合分析

A meta-analysis uses studies that are already published, so there is no recruitment and no waiting for data to accumulate. The course is built around a meta-analysis written from scratch and published for teaching.統合分析用的是已經發表的文獻，不必收案，也不必等資料累積。課程以一篇為教學從零寫成、並已發表的統合分析為核心。

Not yet recorded尚未錄製11 lessons in 3 chapters3 章、11 個單元

What this course helps you do這門課幫你做到什麼

  • Judge quickly whether a topic is worth doing and has a chance of being published.快速判斷一個題目值不值得做、有沒有發表機會。
  • Appraise the included studies with a suitable scale, and organize the data systematically.用合適的量表評讀納入的研究，有系統地整理資料。
  • Run every analysis of a published meta-analysis yourself, without writing code.親手跑過一篇已發表統合分析的所有統計，不必寫程式。
  • Make figures, tables and the flow chart to the standard journals expect.把圖、表格與流程圖做到期刊要求的水準。
  • Avoid the mistakes reviewers most often catch, and turn a revision into an acceptance.避開審閱者最常挑出的錯誤，把修改變成接受。

Who it is for適合誰

  • Clinicians with observations and ideas but no time to recruit patients or wait for ethics approval.有臨床觀察與想法，但沒時間收案、等不及倫理審查的臨床醫師。
  • Researchers in nursing, physical therapy, nutrition, public health, education and other fields with a body of published studies.護理、物理治療、營養、公共衛生、教育等領域，有累積文獻可以做的研究者。
  • Beginners: no programming is needed.初學者：不需要寫程式。

Lesson outline課程大綱

11 lessons in 3 chapters. Each lesson shows whether it has been recorded yet; recorded lessons are added to the platform over time.共 3 章、11 個單元。每個單元都標明目前是否已經錄好；錄好的單元會陸續上架到平台。

Status:狀態：Not yet recorded尚未錄製Being recorded錄製中Available可觀看
Chapter 1第 1 章

Getting started起步

  1. 1.1
    How this course is designed課程設計概念Built around a meta-analysis written from scratch for teaching, and clear about which steps you must always check yourself.以一篇為教學從零寫成的統合分析為核心，並清楚說明哪些步驟一定要自己確認。
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  2. 1.2
    Finding a topic找主題A systematic way to search, screen and confirm a topic quickly, and what to do when a review on it already exists.有系統地快速搜尋、篩選、確認主題，以及發現已經有人發表回顧時怎麼辦。
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  3. 1.3
    Working in a team, and finding someone to guide you組團隊與找人指導A meta-analysis needs at least two people for screening and extraction. How to collaborate, and how to work with a more experienced mentor, so that the paper gets finished.統合分析一定要組團隊。怎麼合作，以及找資深者指導時要注意什麼，論文才生得出來。
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Chapter 2第 2 章

Appraisal, analysis and figures評讀、分析與圖表

  1. 2.1
    Appraising the included studies文獻評讀How to choose among the many quality scales, which ones reviewers consider outdated, and a worked example with Cochrane Risk of Bias 2.幾十種量表怎麼選、哪些審閱者認為已經過時，並以 Cochrane Risk of Bias 2 實際示範。
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  2. 2.2
    Hands-on: the overall meta-analysis實作：整體統合分析Start running the analyses of the worked example paper yourself, beginning with the overall result and its forest plot.開始親手跑指定論文的統計，從整體結果與森林圖開始。
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  3. 2.3
    Hands-on: subgroup analysis and meta-regression實作：次族群分析與統合迴歸The analyses that explain why the studies differ.用來解釋各研究結果為什麼不一致的分析。
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  4. 2.4
    Hands-on: sensitivity analysis, funnel plot and Egger's test實作：敏感性分析、漏斗圖與 Egger's testChecking how robust the result is, and looking for publication bias.檢查結果穩不穩，並檢視出版偏誤。
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  5. 2.5
    Hands-on: tables, flow chart and risk-of-bias figure實作：表格、流程圖與偏誤風險圖Not just the statistics: figures and tables that look right to a journal.不只跑出統計，也把圖表做到期刊滿意的樣子。
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Chapter 3第 3 章

Writing and peer review寫作與審稿

  1. 3.1
    From figures to manuscript: choosing the story從圖表到文章：決定敘事How to order the overall, subgroup, regression, sensitivity and funnel results into one coherent story before you write.動筆之前，先把總結果、分組、迴歸、敏感性分析與漏斗圖排成一個好故事。
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  2. 3.2
    Writing the four sections寫出四大段落Common beginner mistakes, such as repeating the same points in the abstract, introduction and discussion, and how experienced authors structure each section.初學者常見錯誤（例如摘要、前言、討論一再重複），以及內行人的架構寫法。
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  3. 3.3
    Common mistakes, and replying to reviewers常見錯誤避免與審閱意見回覆Heterogeneity, publication bias and the direction of the discussion: what to prevent while writing, and effective ways to answer.異質性、出版偏誤、討論的走向：寫作時先處理掉的問題，以及有效的回覆方式。
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