Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Meta Analysis | 2 |
Prediction | 2 |
Probability | 2 |
Bayesian Statistics | 1 |
Comparative Analysis | 1 |
Diseases | 1 |
Drug Therapy | 1 |
Medicine | 1 |
Mixed Methods Research | 1 |
Models | 1 |
Network Analysis | 1 |
More ▼ |
Source
Research Synthesis Methods | 2 |
Author
Beath, Ken J. | 1 |
Haitao Chu | 1 |
Jennifer L. Proper | 1 |
Michael D. Sonksen | 1 |
Purvi Prajapati | 1 |
Thomas A. Murray | 1 |
Publication Type
Journal Articles | 2 |
Reports - Evaluative | 1 |
Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jennifer L. Proper; Haitao Chu; Purvi Prajapati; Michael D. Sonksen; Thomas A. Murray – Research Synthesis Methods, 2024
Drug repurposing refers to the process of discovering new therapeutic uses for existing medicines. Compared to traditional drug discovery, drug repurposing is attractive for its speed, cost, and reduced risk of failure. However, existing approaches for drug repurposing involve complex, computationally-intensive analytical methods that are not…
Descriptors: Network Analysis, Meta Analysis, Prediction, Drug Therapy
Beath, Ken J. – Research Synthesis Methods, 2014
When performing a meta-analysis unexplained variation above that predicted by within study variation is usually modeled by a random effect. However, in some cases, this is not sufficient to explain all the variation because of outlier or unusual studies. A previously described method is to define an outlier as a study requiring a higher random…
Descriptors: Mixed Methods Research, Robustness (Statistics), Meta Analysis, Prediction