计算机科学
一套
可靠性
网络分析
口译(哲学)
数据科学
数据挖掘
程序设计语言
工程类
电气工程
考古
政治学
法学
历史
作者
Anna Chaimani,Georgia Salanti
出处
期刊:Stata Journal
[SAGE]
日期:2015-12-01
卷期号:15 (4): 905-950
被引量:260
标识
DOI:10.1177/1536867x1501500402
摘要
Network meta-analysis has been established in recent years as a particularly useful evidence synthesis tool. However, it is still challenging to develop understandable and concise ways to present data, assumptions, and results from network meta-analysis to inform decision making and evaluate the credibility of the results. In this article, we provide a suite of commands with graphical tools to facilitate the understanding of data, the evaluation of assumptions, and the interpretation of findings from network meta-analysis.
科研通智能强力驱动
Strongly Powered by AbleSci AI