Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 9 |
Descriptor
Meta Analysis | 9 |
Bayesian Statistics | 3 |
Correlation | 3 |
Effect Size | 3 |
Evidence | 3 |
Synthesis | 3 |
Accuracy | 2 |
Bias | 2 |
Computation | 2 |
Publications | 2 |
Regression (Statistics) | 2 |
More ▼ |
Author
Lin, Lifeng | 9 |
Furuya-Kanamori, Luis | 4 |
Xu, Chang | 4 |
Chu, Haitao | 3 |
Aloe, Ariel M. | 1 |
Chen, Yong | 1 |
Clark, Justin | 1 |
Hodges, James S. | 1 |
Jia, Pengli | 1 |
Ju, Ke | 1 |
Kostoulas, Polychronis | 1 |
More ▼ |
Publication Type
Journal Articles | 9 |
Information Analyses | 3 |
Reports - Research | 3 |
Reports - Descriptive | 2 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Furuya-Kanamori, Luis; Lin, Lifeng; Kostoulas, Polychronis; Clark, Justin; Xu, Chang – Research Synthesis Methods, 2023
Limiting the search date is a common approach utilised in therapeutic/interventional rapid reviews. Yet the accuracy of pooled estimates is unknown when applied to rapid reviews of diagnostic test accuracy studies. Data from all systematic reviews of diagnostic test accuracy studies published in the Cochrane Database of Systematic Reviews, until…
Descriptors: Diagnostic Tests, Accuracy, Meta Analysis, Item Banks
Xu, Chang; Ju, Ke; Lin, Lifeng; Jia, Pengli; Kwong, Joey S. W.; Syed, Asma; Furuya-Kanamori, Luis – Research Synthesis Methods, 2022
Rapid reviews have been widely employed to support timely decision-making, and limiting the search date is the most popular approach in published rapid reviews. We assessed the accuracy and workload of search date limits on the meta-analytical results to determine the best rapid strategy. The meta-analyses data were collected from the Cochrane…
Descriptors: Evidence, Synthesis, Accuracy, Meta Analysis
Rott, Kollin W.; Lin, Lifeng; Hodges, James S.; Siegel, Lianne; Shi, Amy; Chen, Yong; Chu, Haitao – Research Synthesis Methods, 2021
Meta-analysis is commonly used to compare two treatments. Network meta-analysis (NMA) is a powerful extension for comparing and contrasting multiple treatments simultaneously in a systematic review of multiple clinical trials. Although the practical utility of meta-analysis is apparent, it is not always straightforward to implement, especially for…
Descriptors: Bayesian Statistics, Meta Analysis, Computation, Networks
Aloe, Ariel M.; Thompson, Christopher G.; Liu, Zhijiang; Lin, Lifeng – Journal of Experimental Education, 2022
The distribution of the standardized mean difference is well understood. However, in many situations, researchers need to estimate an effect size to represent the relationship between a continuous outcome and a dichotomous grouping variable, adjusting for the effect of a covariate (or a set of covariates). Typically, this adjustment takes place…
Descriptors: Effect Size, Meta Analysis, Quasiexperimental Design, Regression (Statistics)
Xu, Chang; Furuya-Kanamori, Luis; Lin, Lifeng – Research Synthesis Methods, 2022
In evidence synthesis, dealing with zero-events studies is an important and complicated task that has generated broad discussion. Numerous methods provide valid solutions to synthesizing data from studies with zero-events, either based on a frequentist or a Bayesian framework. Among frequentist frameworks, the one-stage methods have their unique…
Descriptors: Evidence, Synthesis, Statistical Analysis, Meta Analysis
Yu, Tianqi; Lin, Lifeng; Furuya-Kanamori, Luis; Xu, Chang – Research Synthesis Methods, 2022
In evidence-based practice, new topics generally only have a few studies available for synthesis. As a result, the evidence of such meta-analyses raised substantial concerns. We investigated the robustness of the evidence from these earliest studies. Real-world data from the Cochrane Database of Systematic Reviews (CDSR) were collected. We…
Descriptors: Synthesis, Evidence, Decision Making, Reliability
Shi, Linyu; Chu, Haitao; Lin, Lifeng – Research Synthesis Methods, 2020
Publication bias threatens meta-analysis validity. It is often assessed via the funnel plot; an asymmetric plot implies small-study effects, and publication bias is one cause of the asymmetry. Egger's regression test is a widely used tool to quantitatively assess such asymmetry. It examines the association between the observed effect sizes and…
Descriptors: Bayesian Statistics, Meta Analysis, Effect Size, Publications
Lin, Lifeng – Research Synthesis Methods, 2019
Assessing publication bias is a critical procedure in meta-analyses for rating the synthesized overall evidence. Because statistical tests for publication bias are usually not powerful and only give "P" values that inform either the presence or absence of the bias, examining the asymmetry of funnel plots has been popular to investigate…
Descriptors: Meta Analysis, Sample Size, Graphs, Bias
Lin, Lifeng; Chu, Haitao – Research Synthesis Methods, 2018
In medical sciences, a disease condition is typically associated with multiple risk and protective factors. Although many studies report results of multiple factors, nearly all meta-analyses separately synthesize the association between each factor and the disease condition of interest. The collected studies usually report different subsets of…
Descriptors: Bayesian Statistics, Multivariate Analysis, Meta Analysis, Correlation