버전 4의 새로운 기능
한 번의 클릭으로 프로그램은 모든 통계를 게시하기에 적합한 형식으로 보고하는 문서를 생성합니다.
두 번째 클릭으로 프로그램은이 문서에 주석을 달고 모든 통계의 의미와 가정 및 제한 사항을 설명합니다.
세 번째 클릭으로 프로그램은이 문서를 Word로 내 보냅니다.
샘플 보고서를 보려면 여기를 클릭하십시오.
We have developed videos of case studies that show how to run an analysis from start to finish. This includes how to enter data, how to run the analysis, how to create plots, how to compare the effect size in different subgroups, and so on.
Critically, each section of the video explains now only how to perform specific functions, but what purpose these functions serve in the context of the analysis, and how to understand the meaning of the statistics.
Each case study runs about ninety minutes. You can watch one from start to finish to learn how to perform a meta-analysis and report it properly. Or, from any screen in the program you can jump to the part of the video that explains all functions on that screen.
In any meta-analysis it is important to report the mean effect size and also how widely the effect size varies across studies. This dispersion is addressed by the prediction interval. This allows us to report, for example, that the mean effect size is a standardized mean difference of 0.50 but that in any single population the true effect size could be as low as 0.05 or as high as 0.95. Many guidelines for reporting a meta-analysis now request the inclusion of prediction intervals.
In Version 4 the program offers the option to display the prediction interval as part of the forest plot. Additionally, with one click you can create a plot that shows the entire distribution of true effects. With one more click you can export this to Word or PowerPoint.
일반적인 실수와이를 피하는 방법
We recently published a book called Common Mistakes in Meta-Analysis and How to Avoid Them
This book includes mistakes in such areas as choosing a statistical model, statistics related to heterogeneity, comparing subgroups of studies, publication bias, and more.
From any screen in the program, you can click a link that will open a PDF with the relevant sections of the book.
포괄적인 메타 분석
종합 메타 분석(CMA)은 메타 분석을 위한 강력한 컴퓨터 프로그램입니다. 이 프로그램은 사용 편의성과 다양한 계산 옵션 및 정교한 그래픽을 결합합니다.