Estimating the extent of selective reporting: An application to economics [0.03%]
估计选择性报告的范围：对经济学的应用
Stephan B Bruns,Teshome K Deressa,T D Stanley et al.
Stephan B Bruns et al.
Using a sample of 70,399 published p-values from 192 meta-analyses, we empirically estimate the counterfactual distribution of p-values in the absence of any biases. Comparing observed p-values with counterfactually expected p-values allows...
Impact of trial attrition rates on treatment effect estimates in chronic inflammatory diseases: A meta-epidemiological study [0.03%]
试验脱落率对慢性炎症疾病治疗效果估计的影响：元流行病学研究
Silja H Overgaard,Caroline M Moos,John P A Ioannidis et al.
Silja H Overgaard et al.
The objective of this meta-epidemiological study was to explore the impact of attrition rates on treatment effect estimates in randomised trials of chronic inflammatory diseases (CID) treated with biological and targeted synthetic disease-m...
Meta-Analysis
Research synthesis methods. 2024 Jul;15(4):561-575. DOI:10.1002/jrsm.1708 2024
Meta-analyses of partial correlations are biased: Detection and solutions [0.03%]
部分相关性的元分析存在偏差：检测与解决方案
T D Stanley,Hristos Doucouliagos,Tomas Havranek
T D Stanley
We demonstrate that all meta-analyses of partial correlations are biased, and yet hundreds of meta-analyses of partial correlation coefficients (PCCs) are conducted each year widely across economics, business, education, psychology, and med...
Meta-Analysis
Research synthesis methods. 2024 Mar;15(2):313-325. DOI:10.1002/jrsm.1704 2024
Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics [0.03%]
医学、环境科学、心理学和经济学中发表选择偏倚在荟萃分析中的影响
František Bartoš,Maximilian Maier,Eric-Jan Wagenmakers et al.
František Bartoš et al.
Publication selection bias undermines the systematic accumulation of evidence. To assess the extent of this problem, we survey over 68,000 meta-analyses containing over 700,000 effect size estimates from medicine (67,386/597,699), environme...
Bayesian meta-analysis for evaluating treatment effectiveness in biomarker subgroups using trials of mixed patient populations [0.03%]
使用混合患者群体的试验评估生物标志物亚组中治疗效果的贝叶斯荟萃分析方法
Lorna Wheaton,Dan Jackson,Sylwia Bujkiewicz
Lorna Wheaton
During drug development, evidence can emerge to suggest a treatment is more effective in a specific patient subgroup. Whilst early trials may be conducted in biomarker-mixed populations, later trials are more likely to enroll biomarker-posi...
Investigation of bias due to selective inclusion of study effect estimates in meta-analyses of nutrition research [0.03%]
元分析中由于选择性纳入研究效果估计值而产生的偏差的研究——以营养研究为例
Raju Kanukula,Joanne E McKenzie,Lisa Bero et al.
Raju Kanukula et al.
We aimed to explore, in a sample of systematic reviews (SRs) with meta-analyses of the association between food/diet and health-related outcomes, whether systematic reviewers selectively included study effect estimates in meta-analyses when...
amstar2Vis: An R package for presenting the critical appraisal of systematic reviews based on the items of AMSTAR 2 [0.03%]
amstar2Vis:一个基于AMSTAR 2条目的用于呈现系统评价批判性评价的R包
Konstantinos I Bougioukas,Paschalis Karakasis,Konstantinos Pamporis et al.
Konstantinos I Bougioukas et al.
Systematic reviews (SRs) have an important role in the healthcare decision-making practice. Assessing the overall confidence in the results of SRs using quality assessment tools, such as "A MeaSurement Tool to Assess Systematic Reviews 2" (...
Language inclusion in ecological systematic reviews and maps: Barriers and perspectives [0.03%]
生态学系统评价和图谱中的语言包容性：壁垒与展望
Kelsey Hannah,Neal R Haddaway,Richard A Fuller et al.
Kelsey Hannah et al.
Systematic reviews and maps are considered a reliable form of research evidence, but often neglect non-English-language literature, which can be a source of important evidence. To understand the barriers that might limit authors' ability or...
P-hacking in meta-analyses: A formalization and new meta-analytic methods [0.03%]
元分析中的P值操纵：一种形式化和新的元分析方法
Maya B Mathur
Maya B Mathur
As traditionally conceived, publication bias arises from selection operating on a collection of individually unbiased estimates. A canonical form of such selection across studies (SAS) is the preferential publication of affirmative studies ...
Frequency of use and adequacy of Cochrane risk of bias tool 2 in non-Cochrane systematic reviews published in 2020: Meta-research study [0.03%]
在2020年发表的非Cochrane系统评价中Cochrane偏倚风险评估工具2的使用频率和适用性：元研究
Andrija Babić,Ognjen Barcot,Tomislav Visković et al.
Andrija Babić et al.
Risk of bias (RoB) assessment is essential to the systematic review methodology. The new version of the Cochrane RoB tool for randomized trials (RoB 2) was published in 2019 to address limitations identified since the first version of the t...
Meta-Analysis
Research synthesis methods. 2024 May;15(3):430-440. DOI:10.1002/jrsm.1695 2024