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Reviewing and assessing existing meta-analysis models and tools.

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第一作者： Funmilayo L,Makinde

第一单位： Computational Biology Division at University of Cape Town in collaboration with the African Institute for Mathematical Sciences (AIMS), South Africa.

作者： Funmilayo L,Makinde ^[1] ; Milaine S S,Tchamga ^[2] ; James,Jafali ^[3] ; Segun,Fatumo ^[4] ; Emile R,Chimusa ^[5] ; Nicola,Mulder ^[6] ; Gaston K,Mazandu ^[7]

作者单位： Computational Biology Division at University of Cape Town in collaboration with the African Institute for Mathematical Sciences (AIMS), South Africa. ^[1] Division of Human Genetics at University of Cape in collaboration with the African Institute for Mathematical Sciences (AIMS), South Africa. ^[2] Pathogen Biology Research Group, Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Malawi. ^[3] London School of Hygiene and Tropical Medicine, University of London, UK. ^[4] Division of Human Genetics, Department of Pathology, University of Cape Town, South Africa. ^[5] Computational Biology Division at University of Cape Town, South Africa. ^[6] Division of Human Genetics, Department of Pathology at University of Cape Town, and Associate Researcher at the African Institute for Mathematical Sciences (AIMS), South Africa. ^[7]

关键词 cohort study data integration experimental study meta-analysis predictive power sample size

医学主题词算法(Algorithms);决策树(Decision Trees);人类(Humans);Meta分析(主题)(Meta-Analysis as Topic);软件(Software);工作流(Workflow)

DOI 10.1093/bib/bbab324

PMID 34415019

发布时间 2023-11-08

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