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Qi, Xinyue; Zhou, Shouhao; Wang, Yucai; Peterson, Christine – Research Synthesis Methods, 2022
Meta-analysis allows researchers to combine evidence from multiple studies, making it a powerful tool for synthesizing information on the safety profiles of new medical interventions. There is a critical need to identify subgroups at high risk of experiencing treatment-related toxicities. However, this remains quite challenging from a statistical…
Descriptors: Bayesian Statistics, Identification, Meta Analysis, Data Analysis
Stewart, G. B.; Mengersen, K.; Meader, N. – Research Synthesis Methods, 2014
Bayesian networks (BNs) are tools for representing expert knowledge or evidence. They are especially useful for synthesising evidence or belief concerning a complex intervention, assessing the sensitivity of outcomes to different situations or contextual frameworks and framing decision problems that involve alternative types of intervention.…
Descriptors: Bayesian Statistics, Networks, Cognitive Mapping, Data Collection
Verde, Pablo E.; Ohmann, Christian – Research Synthesis Methods, 2015
Researchers may have multiple motivations for combining disparate pieces of evidence in a meta-analysis, such as generalizing experimental results or increasing the power to detect an effect that a single study is not able to detect. However, while in meta-analysis, the main question may be simple, the structure of evidence available to answer it…
Descriptors: Randomized Controlled Trials, Bayesian Statistics, Comparative Analysis, Evidence

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