Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 5 |
| Since 2006 (last 20 years) | 6 |
Descriptor
| Intervals | 6 |
| Medical Research | 6 |
| Meta Analysis | 5 |
| Statistical Analysis | 3 |
| Comparative Analysis | 2 |
| Databases | 2 |
| Models | 2 |
| Outcomes of Treatment | 2 |
| Simulation | 2 |
| Accuracy | 1 |
| Adult Learning | 1 |
| More ▼ | |
Author
| Abrams, Keith R. | 1 |
| Crossley, Scott A. | 1 |
| Furukawa, Toshi A. | 1 |
| Glass, Änne | 1 |
| Hamura, Yasuyuki | 1 |
| Higgins, Julian P. T. | 1 |
| Hoyer, Annika | 1 |
| Ickstadt, Katja | 1 |
| Knapp, Guido | 1 |
| Kundt, Günther | 1 |
| Kuss, Oliver | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 6 |
| Information Analyses | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkWeber, Frank; Knapp, Guido; Glass, Änne; Kundt, Günther; Ickstadt, Katja – Research Synthesis Methods, 2021
There exists a variety of interval estimators for the overall treatment effect in a random-effects meta-analysis. A recent literature review summarizing existing methods suggested that in most situations, the Hartung-Knapp/Sidik-Jonkman (HKSJ) method was preferable. However, a quantitative comparison of those methods in a common simulation study…
Descriptors: Meta Analysis, Computation, Intervals, Statistical Analysis
Noma, Hisashi; Hamura, Yasuyuki; Sugasawa, Shonosuke; Furukawa, Toshi A. – Research Synthesis Methods, 2023
Network meta-analysis has played an important role in evidence-based medicine for assessing the comparative effectiveness of multiple available treatments. The prediction interval has been one of the standard outputs in recent network meta-analysis as an effective measure that enables simultaneous assessment of uncertainties in treatment effects…
Descriptors: Intervals, Meta Analysis, Evidence Based Practice, Comparative Analysis
Qijun Li, Kendrick; Rice, Kenneth – Research Synthesis Methods, 2020
Meta-analysis of 2 × 2 tables is common and useful in research topics including analysis of adverse events and survey research data. Fixed-effects inference typically centers on measures of association such as the Cochran-Mantel-Haenszel statistic or Woolf's estimator, but relies on assuming exact homogeneity across studies, which is often…
Descriptors: Inferences, Meta Analysis, Intervals, Prevention
Hoyer, Annika; Kuss, Oliver – Research Synthesis Methods, 2019
Diagnostic test accuracy studies frequently report on sensitivities and specificities for more than one threshold of the diagnostic test under study. Although it is obvious that the information from all thresholds should be used for a meta-analysis, in practice, frequently, only a single pair of sensitivity and specificity is selected. To overcome…
Descriptors: Meta Analysis, Diagnostic Tests, Correlation, Intervals
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
Salsbury, Tom; Crossley, Scott A.; McNamara, Danielle S. – Second Language Research, 2011
This study uses word information scores from the Medical Research Council (MRC) Psycholinguistic Database to analyse word development in the spontaneous speech data of six adult learners of English as a second language (L2) in a one-year longitudinal study. In contrast to broad measures of lexical development, such as word frequency and lexical…
Descriptors: Medical Research, Psycholinguistics, Second Language Learning, Familiarity
