Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Databases | 3 |
| Statistical Analysis | 3 |
| Medical Research | 2 |
| Meta Analysis | 2 |
| Models | 2 |
| Bias | 1 |
| Check Lists | 1 |
| Comparative Analysis | 1 |
| Computation | 1 |
| Economics | 1 |
| Effect Size | 1 |
| More ▼ | |
Source
| Research Synthesis Methods | 3 |
Author
| Abrams, Keith R. | 1 |
| Friede, Tim | 1 |
| Hattori, Satoshi | 1 |
| Higgins, Julian P. T. | 1 |
| Huang, Ao | 1 |
| Komukai, Sho | 1 |
| Luhnen, Miriam | 1 |
| Mathes, Tim | 1 |
| Mawdsley, David | 1 |
| Neugebauer, Edmund A. M. | 1 |
| Prediger, Barbara | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkHuang, Ao; Komukai, Sho; Friede, Tim; Hattori, Satoshi – Research Synthesis Methods, 2021
Prospective registration of study protocols in clinical trial registries is a useful way to minimize the risk of publication bias in meta-analysis, and several clinical trial registries are available nowadays. However, they are mainly used as a tool for searching studies and information submitted to the registries has not been utilized as…
Descriptors: Publications, Bias, Meta Analysis, Selection
Luhnen, Miriam; Prediger, Barbara; Neugebauer, Edmund A. M.; Mathes, Tim – Research Synthesis Methods, 2019
Introduction: The number of systematic reviews of health economic evaluations (SR-HEs) is increasing. We aimed at providing a detailed overview of the characteristics and applied methods in recently published SR-HEs. Methods: We searched MEDLINE (03/2017) for SR-HEs published since 2015 using validated search filters. We included studies that…
Descriptors: Economics, Databases, Medical Research, Search Strategies
Mawdsley, David; Higgins, Julian P. T.; Sutton, Alex J.; Abrams, Keith R. – Research Synthesis Methods, 2017
In meta-analysis, the random-effects model is often used to account for heterogeneity. The model assumes that heterogeneity has an additive effect on the variance of effect sizes. An alternative model, which assumes multiplicative heterogeneity, has been little used in the medical statistics community, but is widely used by particle physicists. In…
Descriptors: Databases, Meta Analysis, Goodness of Fit, Effect Size
