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主要對以往的研究結果進行系統的定量分析.
Meta-Analysis主要解決以下問題：
1.增加統計功效
2.解決各研究結果不一致性
3.尋求新的假設
在醫學領域裡應用Meta-Analysis可以定量的綜合分析多個研究結果,得出科學、合理、可信的結論,進一步為研究提供參考,讓疾病的預防、治療、診斷等諸方面提供更全面更可靠的依據。
您可以連結以下網址,來預覽所有YouTube的教學影片
http://www.youtube.com/user/Biostat100?feature=watch
http://www.youtube.com/user/softhomeMetaAnalysis
針對三種不同的使用者版本
1.企業一年租用 2.教育一年租用 3.學期版 六個月
推薦書籍
Meta分析實作：使用Excel與CMA程式（附光碟）張紹勳 著
整合分析軟體CMA簡介與操作實務 李茂能 編著
後設分析 (吳政達)
研究統合與後設分析(第四版) ( 張明玲)
試用版下載
原廠目錄
相關原文圖書
相關原廠教學範例 Meta-analysis tutorials
原廠 提供之相關常問 問題Frequently asked questions
我們的客戶 A very small sample of our 50,000 + clients
快速入門
1. 輸入資料
2. 跑分析
3. 輸出結果 畫圖表
世代研究（Cohort Study）
主要功能與特色
工作表介面 Work with a spreadsheet interface
資料輸入 data directly or import data from other program
次群組也可分析
What if I have multiple subgroups or outcomes within studies?
效用量是自動計算的 快速又正確
Compute the treatment effect (or effect size) automatically
With CMA the process is fast and accurate
不同的資料格式 也可在同一分析內執行
What if my data is in some other format?
可以顯示 計算的公式
What formula is the program using to compute these effects?
可用不同的 效用量模型
What if I want to use anoth
er index of treatment effect?
What if different studies reported different kinds of data?
已經有交叉設計 也可以 What if some (or all) of my studies include pre-post or crossover designs?
有精靈輔助您做複雜的資料輸入
Can I mix binary, continuous, and correlational data?
What if I have studies that look at point estimates rather than effect sizes or treatment effects?
顯示 研究對像所佔的權重 Display study weights
可選擇計算的模型 Select the computational model
Understand how the computational model affects the study weights
YouTube 教學
01 CMABrochure
02 Meta AnalysisTutorial
03 Meta Analysis Manual
04 Meta Analysis Manual
客戶範例
入門教學Tutorial for Comprehensive Meta-Analysis (CMA):
Meta-Analysis 001
Meta-Analysis with multiple outcomes
較複雜 的資料結構 Complex data structures
Comprehensive Meta-Analysis (CMA): 入門教學 Difference in means, common SD, and sample size
Comprehensive Meta-Analysis (CMA): 入門教學 Mean , SD and sample size in each group
Comprehensive Meta-Analysis (CMA): 入門教學 Time Point
Comprehensive Meta-Analysis (CMA): 入門教學 Meta regression
Comprehensive Meta-Analysis (CMA): 入門教學 Comparison function
Comprehensive Meta-Analysis (CMA): 入門教學 Working with moderator variables II
Comprehensive Meta-Analysis (CMA): 入門教學 Working with modeComprehensive Meta-Analysis (CMA): 入門教學 Subgroups within studiesrator variables II
Comprehensive Meta-Analysis (CMA): 入門教學 Multiple outcomes within studies
Comprehensive Meta-Analysis (CMA): 入門教學 Working with moderator variables I
Comprehensive Meta-Analysis (CMA): 入門教學 Working with moderComprehensive Meta-Analysis (CMA): 入門教學 Multiple data entry formatator variables I
Comprehensive Meta-Analysis (CMA): 入門教學 Basic operation
Meta-Analysis (CMA): 入門教學 Risk difference and confidence limit
Meta-Analysis (CMA): 入門教學 Risk difference and variance
Meta-Analysis (CMA): 入門教學 Risk difference and standard error
Meta-Analysis (CMA): 入門教學 Log Risk ratio and variance
Meta-Analysis (CMA): 入門教學 Peto's (O-E) and V
Meta-Analysis (CMA): 入門教學 Risk ratio and confidence limit
Meta-Analysis (CMA): 入門教學 Log Risk ratio and standard error
Meta-Analysis (CMA): 入門教學 Log Odds ratio and standard error
Meta-Analysis (CMA): 入門教學 Log Odds ratio and variance
Meta-Analysis (CMA): 入門教學 Odds ratio and confidence limits
Meta-Analysis (CMA): 入門教學 Chi-squared and total sample size
Meta-Analysis (CMA): 入門教學 event rate and sample size in each group
Tutorial for Comprehensive Meta-Analysis (CMA): 入門教學 Events and non-events in each group.cma
Tutorial for Comprehensive Meta-Analysis (CMA): 入門教學 Non-events and sample size
Tutorial for Comprehensive Meta-Analysis (CMA): 入門教學 Events and sample size in each group
Tutorial for Comprehensive Meta-Analysis (CMA): 入門教學 Excel input
Power-analysis for cluster-randomized trials Week-1
Power-analysis for cluster-randomized trials Week-2.mp4
Comprehensive Meta-Analysis 001
Meta-Analysis 001
Comprehensive Meta-Analysis Tutorial Means Basic
Comprehensive Meta-Analysis Subgroups
Complex data structures.mp4
Meta-Analysis using independent subgroups within studies
Meta-Analysis with multiple outcomes
Comprehensive Meta-Analysis Basic data entry for proportions
Comprehensive Meta-Analysis Basic data entry Correlations
Comprehensive Meta-Analysis Basic data entry Means
Comprehensive Meta-Analysis Basic analysis proportions
Comprehensive Meta-Analysis Basic Analysis Means
Comprehensive Meta-Analysis Basic analyses Correlations
Comprehensive Meta-Analysis Overview, using binary data
