Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Bayesian Statistics | 2 |
| Error of Measurement | 2 |
| Meta Analysis | 2 |
| Data Analysis | 1 |
| Effect Size | 1 |
| Evaluation Methods | 1 |
| Generalization | 1 |
| Intervals | 1 |
| Maximum Likelihood Statistics | 1 |
| Models | 1 |
| Networks | 1 |
| More ▼ | |
Source
| Research Synthesis Methods | 2 |
Author
| Clapper, Eli-Boaz | 1 |
| Jensen, Katrin | 1 |
| Kieser, Meinhard | 1 |
| Seide, Svenja E. | 1 |
| Van Lissa, Caspar J. | 1 |
| van Erp, Sara | 1 |
Publication Type
| Information Analyses | 2 |
| Journal Articles | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkVan Lissa, Caspar J.; van Erp, Sara; Clapper, Eli-Boaz – Research Synthesis Methods, 2023
When meta-analyzing heterogeneous bodies of literature, meta-regression can be used to account for potentially relevant between-studies differences. A key challenge is that the number of candidate moderators is often high relative to the number of studies. This introduces risks of overfitting, spurious results, and model non-convergence. To…
Descriptors: Bayesian Statistics, Regression (Statistics), Maximum Likelihood Statistics, Meta Analysis
Seide, Svenja E.; Jensen, Katrin; Kieser, Meinhard – Research Synthesis Methods, 2020
The performance of statistical methods is often evaluated by means of simulation studies. In case of network meta-analysis of binary data, however, simulations are not currently available for many practically relevant settings. We perform a simulation study for sparse networks of trials under between-trial heterogeneity and including multi-arm…
Descriptors: Bayesian Statistics, Meta Analysis, Data Analysis, Networks
