Robust variance estimation in small meta-analysis with the standardized mean difference [0.03%]
基于标准化均值差的小型荟萃分析中的稳健方差估计方法研究
Rrita Zejnullahi,Larry V Hedges
Rrita Zejnullahi
Conventional random-effects models in meta-analysis rely on large sample approximations instead of exact small sample results. While random-effects methods produce efficient estimates and confidence intervals for the summary effect have cor...
Meta-Analysis
Research synthesis methods. 2024 Jan;15(1):44-60. DOI:10.1002/jrsm.1668 2024
How to plan and manage an individual participant data meta-analysis. An illustrative toolkit [0.03%]
个体参与者数据荟萃分析的计划与管理工具包
Lauren Maxwell,Priya Shreedhar,Mabel Carabali et al.
Lauren Maxwell et al.
Individual participant data meta-analyses (IPD-MAs) have several benefits over standard aggregate data meta-analyses, including the consideration of additional participants, follow-up time, and the joint consideration of study- and particip...
Meta-Analysis
Research synthesis methods. 2024 Jan;15(1):166-174. DOI:10.1002/jrsm.1670 2024
What are the best methods for rapid reviews of the research evidence? A systematic review of reviews and primary studies [0.03%]
系统评价与原始研究的最佳速评方法是什么？系统评价的系统评价及原始研究
Michelle M Haby,Jorge Otávio Maia Barreto,Jenny Yeon Hee Kim et al.
Michelle M Haby et al.
Rapid review methodology aims to facilitate faster conduct of systematic reviews to meet the needs of the decision-maker, while also maintaining quality and credibility. This systematic review aimed to determine the impact of different meth...
Causally interpretable meta-analysis: Clearly defined causal effects and two case studies [0.03%]
可解释的因果元分析：清晰定义的因果效应及两个案例研究
Kollin W Rott,Gert Bronfort,Haitao Chu et al.
Kollin W Rott et al.
Meta-analysis is commonly used to combine results from multiple clinical trials, but traditional meta-analysis methods do not refer explicitly to a population of individuals to whom the results apply and it is not clear how to use their res...
A mapping exercise using automated techniques to develop a search strategy to identify systematic review tools [0.03%]
利用自动化技术进行映射研究以开发系统评价工具识别性搜索策略
Anthea Sutton,Hannah O&#x;Keefe,Eugenie Evelynne Johnson et al.
Anthea Sutton et al.
The Systematic Review Toolbox aims provide a web-based catalogue of tools that support various tasks within the systematic review and wider evidence synthesis process. Identifying publications surrounding specific systematic review tools is...
DTAmetasa: An R shiny application for meta-analysis of diagnostic test accuracy and sensitivity analysis of publication bias [0.03%]
DTAmetasa：一个用于诊断准确性meta分析和发表偏倚敏感性分析的R Shiny应用
Shosuke Mizutani,Yi Zhou,Yu-Shi Tian et al.
Shosuke Mizutani et al.
Meta-analysis of diagnostic test accuracy (DTA) is a powerful statistical method for synthesizing and evaluating the diagnostic capacity of medical tests and has been extensively used by clinical physicians and healthcare decision-makers. H...
Rare events meta-analysis using the Bayesian beta-binomial model [0.03%]
基于Bayesian betabinomial模型的罕见事件meta分析方法研究
Katrin Jansen,Heinz Holling
Katrin Jansen
In meta-analyses of rare events, it can be challenging to obtain a reliable estimate of the pooled effect, in particular when the meta-analysis is based on a small number of studies. Recent simulation studies have shown that the beta-binomi...
Meta-Analysis
Research synthesis methods. 2023 Nov;14(6):853-873. DOI:10.1002/jrsm.1662 2023
Two-stage or not two-stage? That is the question for IPD meta-analysis projects [0.03%]
是否采用两阶段？个体患者数据荟萃分析项目的抉择问题
Richard D Riley,Joie Ensor,Miriam Hattle et al.
Richard D Riley et al.
Individual participant data meta-analysis (IPDMA) projects obtain, check, harmonise and synthesise raw data from multiple studies. When undertaking the meta-analysis, researchers must decide between a two-stage or a one-stage approach. In a...
Meta-Analysis
Research synthesis methods. 2023 Nov;14(6):903-910. DOI:10.1002/jrsm.1661 2023
Advice for improving the reproducibility of data extraction in meta-analysis [0.03%]
提高元分析中数据提取可重复性的建议
Edward R Ivimey-Cook,Daniel W A Noble,Shinichi Nakagawa et al.
Edward R Ivimey-Cook et al.
Extracting data from studies is the norm in meta-analyses, enabling researchers to generate effect sizes when raw data are otherwise not available. While there has been a general push for increased reproducibility in meta-analysis, the tran...
Meta-Analysis
Research synthesis methods. 2023 Nov;14(6):911-915. DOI:10.1002/jrsm.1663 2023
Combining meta-analysis with multiple imputation for one-step, privacy-protecting estimation of causal treatment effects in multi-site studies [0.03%]
结合荟萃分析和多重插补进行一步隐私保护估计多站点研究中的因果治疗效应
Di Shu,Xiaojuan Li,Qoua Her et al.
Di Shu et al.
Missing data complicates statistical analyses in multi-site studies, especially when it is not feasible to centrally pool individual-level data across sites. We combined meta-analysis with within-site multiple imputation for one-step estima...
Meta-Analysis
Research synthesis methods. 2023 Sep;14(5):742-763. DOI:10.1002/jrsm.1660 2023