Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Bayesian Statistics | 2 |
| Drug Therapy | 2 |
| Intervals | 2 |
| Medical Research | 2 |
| Meta Analysis | 2 |
| Simulation | 2 |
| Surgery | 2 |
| Children | 1 |
| Computer Software | 1 |
| Credibility | 1 |
| Data Analysis | 1 |
| More ▼ | |
Source
| Research Synthesis Methods | 2 |
Author
| Friede, Tim | 2 |
| Röver, Christian | 2 |
| Günhan, Burak Kürsad | 1 |
| Neuenschwander, Beat | 1 |
| Wandel, Simon | 1 |
Publication Type
| Journal Articles | 2 |
| Information Analyses | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Günhan, Burak Kürsad; Röver, Christian; Friede, Tim – Research Synthesis Methods, 2020
Meta-analyses of clinical trials targeting rare events face particular challenges when the data lack adequate numbers of events for all treatment arms. Especially when the number of studies is low, standard random-effects meta-analysis methods can lead to serious distortions because of such data sparsity. To overcome this, we suggest the use of…
Descriptors: Meta Analysis, Medical Research, Drug Therapy, Bayesian Statistics
Friede, Tim; Röver, Christian; Wandel, Simon; Neuenschwander, Beat – Research Synthesis Methods, 2017
Meta-analyses in orphan diseases and small populations generally face particular problems, including small numbers of studies, small study sizes and heterogeneity of results. However, the heterogeneity is difficult to estimate if only very few studies are included. Motivated by a systematic review in immunosuppression following liver…
Descriptors: Meta Analysis, Diseases, Medical Research, Research Problems

Peer reviewed
Direct link
