文档介绍：How to Conduct a Meta-Analysis
Arindam Basu MD MPH
About the Author
Required Browsing
Objectives
Following the course, you will be able to:
Define Meta-analysis
Select Studies for a Meta-analysis
Identify different types of Models
Calculate Summary Effects
Interpret Results of a Meta-analysis
What is Meta-analysis?
Synthesis of previous studies
Providing a Summary estimate
Steps
Identify studies
Define Eligibility Criteria
Abstract Data
Do Statistical Analysis
Identify Studies: Overview
Steps:
Search Your Personal Files First
Search Electronic Databases
Review Reference Lists of Articles
Contact Experts and Researchers
Retrieve New Articles
Evaluate Quality of the Studies
Set Up Eligibility Criteria
Searching Electronic Databases
First, Define a Search Strategy
Limitations of Databases
plete and imperfect queries
language problems
problems with fugitive literature
Publication Bias is important
What is publication bias
How to deal with publication bias
Evaluating Study Quality
Define Study Quality Criteria Early
Set Up A Good Scoring System
Develop A Form for Assessment
Calculate Quality for each Study
Use this for Sensitivity Analysis
stratify studies according to quality
Defining Eligibility of Studies
Select Eligible Studies Based On:
Study Designs
Years of Publication
Language
Choice among multiple articles
Sample-size or follow-up issues
Similarity of Exposure and/or pleteness of information
Abstract Data - Review!
Steps:
Identify Relevant Articles
Sort out Eligible Articles
Set up a Form for Abstraction
Enter the Eligible Studies
Use this as your database
Statistical Analysis is next...
Statistical Analysis - Overview
Select An Estimate of Effect
Choose An Effects Measure
Select An Effects Model
For Each Model:
Calculate Summary Effect Size
Calculate Confidence Intervals
Calculate Q-statistic for Homogeneity
Perform Sensitivity Analysis
Selecting Estimate of Effect
Choose Only One Estimate
For RCTS, choose the one with
Once randomized a