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Research Synthesis Methods|January 10, 2018
Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guideIain J Marshall, Anna Noel-Storr, Joël Kuiper, et al.
Research Synthesis Methods|December 29, 2018
Conducting gene set tests in meta-analyses of transcriptome expression dataRobin Kosch, Klaus Jung
Research Synthesis Methods|June 18, 2022
A search of only four key databases would identify most randomized controlled trials of acupuncture: A meta-epidemiological studyQiong Guo, Yifan Cheng, Chenyang Zhang, et al.
Research Synthesis Methods|July 7, 2022
In-depth evaluation of machine learning methods for semi-automating article screening in a systematic review of mechanistic literatureMihiretu M Kebede, Charlotte Le Cornet, Renée Turzanski Fortner
Research Synthesis Methods|July 8, 2022
Synthesizing evidence from the earliest studies to support decision-making: To what extent could the evidence be reliable?Tianqi Yu, Lifeng Lin, Luis Furuya-Kanamori, et al.
Research Synthesis Methods|June 15, 2022
A semiparametric approach for meta-analysis of diagnostic accuracy studies with multiple cut-offsCornelia Frömke, Mathia Kirstein, Antonia Zapf
Research Synthesis Methods|July 7, 2022
Meta-analyzing individual participant data from studies with complex survey designs: A tutorial on using the two-stage approach for data from educational large-scale assessmentsMartin Brunner, Lena Keller, Sophie E Stallasch, et al.
Research Synthesis Methods|June 5, 2021
Evaluation of the comprehensiveness, accuracy and currency of the Cochrane COVID-19 Study Register for supporting rapid evidence synthesis productionMaria-Inti Metzendorf, Robin M Featherstone
Research Synthesis Methods|May 31, 2021
Data sharing-trialists' plans at registration, attitudes, barriers and facilitators: A cohort study and cross-sectional surveyAidan Christopher Tan, Lisa M Askie, Kylie Elizabeth Hunter, et al.
Research Synthesis Methods|July 7, 2021
A comparison of hypothesis tests for homogeneity in meta-analysis with focus on rare binary eventsChiyu Zhang, Xinlei Wang, Min Chen, et al.
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