Machine learning for identifying randomised controlled trials when conducting systematic reviews: Development and evaluation of its impact on practice [0.03%]
机器学习在系统综述中识别随机对照试验：开发及其对实践影响的评估
Xuan Qin,Minghong Yao,Xiaochao Luo et al.
Xuan Qin et al.
Machine learning (ML) models have been developed to identify randomised controlled trials (RCTs) to accelerate systematic reviews (SRs). However, their use has been limited due to concerns about their performance and practical benefits. We ...
Authors' reply: Continuity corrections with Mantel-Haenszel estimators in Cochrane reviews [0.03%]
作者回应：Cochrane系统评价中的Mantel-Haenszel估计与连续性修正
Yasushi Tsujimoto,Yusuke Tsutsumi,Yuki Kataoka et al.
Yasushi Tsujimoto et al.
Subgroup identification using individual participant data from multiple trials: An application in low back pain [0.03%]
基于多中心临床试验个体患者数据的亚组识别研究——以低背部疼痛为例
Cynthia Huber,Tim Friede
Cynthia Huber
Model-based recursive partitioning (MOB) and its extension, metaMOB, are tools for identifying subgroups with differential treatment effects. When pooling data from various trials the metaMOB approach uses random effects to model the hetero...
Hierarchical imputation of categorical variables in the presence of systematically and sporadically missing data [0.03%]
存在系统性和随机性缺失数据的条件下分类变量的层次插补法
Shahab Jolani
Shahab Jolani
Modern quantitative evidence synthesis methods often combine patient-level data from different sources, known as individual participants data (IPD) sets. A specific challenge in meta-analysis of IPD sets is the presence of systematically mi...
Hanan Khalil,Vivian Welch,Matthew Grainger et al.
Hanan Khalil et al.
Mapping reviews are valuable tools for synthesizing and visualizing research evidence, providing a comprehensive overview of studies within a specific field. Their visual approach enhances accessibility, enabling researchers, policymakers, ...
Leonhard Held,Felix Hofmann,Samuel Pawel
Leonhard Held
P-value functions are modern statistical tools that unify effect estimation and hypothesis testing and can provide alternative point and interval estimates compared to standard meta-analysis methods, using any of the many p-value combinatio...
Comparative Study
Research synthesis methods. 2025 Sep;16(5):758-785. DOI:10.1017/rsm.2025.26 2025
Ten practices for successful study coding in research syntheses: Developing coding manuals and coding forms [0.03%]
系统综述中成功的文献编码研究的十大实践：编制编码手册和编码表
Gena Nelson,Sarah Quinn,Sean Grant et al.
Gena Nelson et al.
Study coding is an essential component of the research synthesis process. Data extracted during study coding serve as a direct link between the included studies and the synthesis results, allowing reviewers to justify claims about the findi...
Continuity corrections with Mantel-Haenszel estimators in Cochrane reviews [0.03%]
Mantel-Haenszel估计器的连续性修正在Cochrane综述中的应用
A E Ades,Deborah M Caldwell,Sumayya Anwer et al.
A E Ades et al.
Zheng Wang,Thomas A Murray,Wenshan Han et al.
Zheng Wang et al.
Network meta-analysis (NMA) enables simultaneous assessment of multiple treatments by combining both direct and indirect evidence. While NMAs are increasingly important in healthcare decision-making, challenges remain due to limited direct ...
A novel robust meta-analysis model using the t distribution for outlier accommodation and detection [0.03%]
一种新的基于t分布的异常值处理和识别稳健型元分析模型
Yue Wang,Jianhua Zhao,Fen Jiang et al.
Yue Wang et al.
Random effects meta-analysis model is an important tool for integrating results from multiple independent studies. However, the standard model is based on the assumption of normal distributions for both random effects and within-study error...