Investigating underlying risk as a source of heterogeneity in meta-analysis.
van Houwelingen H, Senn S·Statistics in medicine
Abstract not available
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van Houwelingen H, Senn S·Statistics in medicine
Abstract not available
Benveniste J·Lancet (London, England)
Abstract not available
Egger M, Smith G D·BMJ (Clinical research ed.)
Abstract not available
Mann C·Science (New York, N.Y.)
Abstract not available
Lynn M R·Nursing research
Abstract not available
Chen I-Wen, Liu Wei-Cheng, Hung Kuo-Chuan·Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Abstract not available
Ordak Michal, Canonica Giorgio Walter, Paoletti Giovanni, +3 more·Allergy
Abstract not available
Siddiqi Kamran, Dogar Omara, Gabe Rhian, +1 more·Addiction (Abingdon, England)
Abstract not available
Hung Cheng-Hsien, Kao Yung-Shuo·Journal of medical Internet research
Abstract not available
Wang Dongmei, Jin Jianjian, Zhang Zheng·Clinical nutrition (Edinburgh, Scotland)
Abstract not available
Dias Sofia, Caldwell Deborah M·Archives of disease in childhood. Fetal and neonatal edition
Abstract not available
Jukola Saana·Studies in history and philosophy of biological and biomedical sciences
By using Stegenga's article Is meta-analysis the platinum standard of evidence as a case study, this paper shows how different notions of objectivity can affect discussions concerning medical research. I argue that the ideal of objectivity that underlies Stegenga's article is both unattainable in practice and insuffici…
Veledar Emir, Crippa Alessio, Osondu Chukwuemeka U, +2 more·International journal of cardiology
Abstract not available
Muench John·Family medicine
Abstract not available
Schork M Anthony·Journal of hypertension
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Shapiro S·American journal of epidemiology
Abstract not available
Uhari M·Duodecim; laaketieteellinen aikakauskirja
Abstract not available
Goodman S N·Annals of internal medicine
Abstract not available
Li Lingbo, Mathrani Anuradha, Susnjak Teo·Research synthesis methods
Exponential growth in scientific literature has heightened the demand for efficient evidence-based synthesis, driving the rise of the field of automated meta-analysis (AMA) powered by natural language processing and machine learning. This PRISMA systematic review introduces a structured framework for assessing the curr…
Harris Emily·JAMA
Abstract not available