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
| Credibility | 2 |
| Meta Analysis | 2 |
| Statistical Inference | 2 |
| Bayesian Statistics | 1 |
| Data Interpretation | 1 |
| Death | 1 |
| Drug Therapy | 1 |
| Effect Size | 1 |
| Hypothesis Testing | 1 |
| Intervals | 1 |
| Patients | 1 |
| More ▼ | |
Source
| Research Synthesis Methods | 2 |
Author
| Apostoloski, Nenad | 1 |
| Brannick, Michael T. | 1 |
| French, Kimberly A. | 1 |
| Held, Leonhard | 1 |
| Kiselica, Andrew M. | 1 |
| Matthews, Robert | 1 |
| Ott, Manuela | 1 |
| Pawel, Samuel | 1 |
| Rothstein, Hannah R. | 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
Peer reviewed
Direct linkBrannick, Michael T.; French, Kimberly A.; Rothstein, Hannah R.; Kiselica, Andrew M.; Apostoloski, Nenad – Research Synthesis Methods, 2021
Tolerance intervals provide a bracket intended to contain a percentage (e.g., 80%) of a population distribution given sample estimates of the mean and variance. In random-effects meta-analysis, tolerance intervals should contain researcher-specified proportions of underlying population effect sizes. Using Monte Carlo simulation, we investigated…
Descriptors: Meta Analysis, Credibility, Intervals, Effect Size
Held, Leonhard; Matthews, Robert; Ott, Manuela; Pawel, Samuel – Research Synthesis Methods, 2022
It is now widely accepted that the standard inferential toolkit used by the scientific research community--null-hypothesis significance testing (NHST)--is not fit for purpose. Yet despite the threat posed to the scientific enterprise, there is no agreement concerning alternative approaches for evidence assessment. This lack of consensus reflects…
Descriptors: Bayesian Statistics, Statistical Inference, Hypothesis Testing, Credibility
