Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Meta Analysis | 2 |
Network Analysis | 2 |
Randomized Controlled Trials | 2 |
Statistical Analysis | 2 |
Clinical Experience | 1 |
Computer Software | 1 |
Error of Measurement | 1 |
Evidence | 1 |
Medicine | 1 |
Reliability | 1 |
Research Design | 1 |
More ▼ |
Source
Research Synthesis Methods | 2 |
Author
A. E. Ades | 1 |
David M. Phillippo | 1 |
Deborah M. Caldwell | 1 |
Nicky J. Welton | 1 |
Sofia Dias | 1 |
Su, Yu-Xuan | 1 |
Tu, Yu-Kang | 1 |
Publication Type
Journal Articles | 2 |
Information Analyses | 1 |
Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
A. E. Ades; Nicky J. Welton; Sofia Dias; David M. Phillippo; Deborah M. Caldwell – Research Synthesis Methods, 2024
Network meta-analysis (NMA) is an extension of pairwise meta-analysis (PMA) which combines evidence from trials on multiple treatments in connected networks. NMA delivers internally consistent estimates of relative treatment efficacy, needed for rational decision making. Over its first 20 years NMA's use has grown exponentially, with applications…
Descriptors: Network Analysis, Meta Analysis, Medicine, Clinical Experience
Su, Yu-Xuan; Tu, Yu-Kang – Research Synthesis Methods, 2018
Network meta-analysis compares multiple treatments in terms of their efficacy and harm by including evidence from randomized controlled trials. Most clinical trials use parallel design, where patients are randomly allocated to different treatments and receive only 1 treatment. However, some trials use within person designs such as split-body,…
Descriptors: Network Analysis, Meta Analysis, Randomized Controlled Trials, Research Design