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Maria Llambrich; Pau Satorra; Eudald Correig; Josep Gumà; Jesús Brezmes; Cristian Tebé; Raquel Cumeras – Research Synthesis Methods, 2024
Meta-analysis is a useful tool in clinical research, as it combines the results of multiple clinical studies to improve precision when answering a particular scientific question. While there has been a substantial increase in publications using meta-analysis in various clinical research topics, the number of published meta-analyses in metabolomics…
Descriptors: Meta Analysis, Programming Languages, Information Technology, Computer Oriented Programs
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Ziren Jiang; Joseph C. Cappelleri; Margaret Gamalo; Yong Chen; Neal Thomas; Haitao Chu – Research Synthesis Methods, 2024
Population-adjusted indirect comparison (PAIC) is an increasingly used technique for estimating the comparative effectiveness of different treatments for the health technology assessments when head-to-head trials are unavailable. Three commonly used PAIC methods include matching-adjusted indirect comparison (MAIC), simulated treatment comparison…
Descriptors: Comparative Analysis, Decision Making, Health Services, Computer Oriented Programs
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Evrenoglou, Theodoros; Boutron, Isabelle; Seitidis, Georgios; Ghosn, Lina; Chaimani, Anna – Research Synthesis Methods, 2023
Outputs from living evidence syntheses projects have been used widely during the pandemic by guideline developers to form evidence-based recommendations. However, the needs of different stakeholders cannot be accommodated by solely providing pre-defined non amendable numerical summaries. Stakeholders also need to understand the data and perform…
Descriptors: COVID-19, Pandemics, Meta Analysis, Computer Oriented Programs
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Kwon, Deukwoo; Reddy, Roopesh Reddy Sadashiva; Reis, Isildinha M. – Research Synthesis Methods, 2021
In meta-analysis based on continuous outcome, estimated means and corresponding standard deviations from the selected studies are key inputs to obtain a pooled estimate of the mean and its confidence interval. We often encounter the situation that these quantities are not directly reported in the literatures. Instead, other summary statistics are…
Descriptors: Meta Analysis, Computation, Bayesian Statistics, Computer Oriented Programs
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Jak, Suzanne; Li, Hongli; Kolbe, Laura; Jonge, Hannelies; Cheung, Mike W.-L. – Research Synthesis Methods, 2021
Meta-analytic structural equation modeling (MASEM) refers to fitting structural equation models (SEMs) (such as path models or factor models) to meta-analytic data. Currently, fitting MASEMs may be challenging for researchers that are not accustomed to working with R software and packages. Therefore, we developed webMASEM; a web application for…
Descriptors: Meta Analysis, Structural Equation Models, Tutorial Programs, Computer Oriented Programs
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Laurent, Anabelle; Lyu, Xiaodan; Kyveryga, Peter; Makowski, David; Hofmann, Heike; Miguez, Fernando – Research Synthesis Methods, 2021
The on-farm research network concept enables a group of farmers to test new agricultural management practices under local conditions with support from local researchers or agronomists. Different on-farm trials based on the same experimental design are conducted over several years and sites to test the effectiveness of different innovative…
Descriptors: Data, Visual Aids, Data Analysis, Synthesis
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Luo, Yan; Chaimani, Anna; Furukawa, Toshi A.; Kataoka, Yuki; Ogawa, Yusuke; Cipriani, Andrea; Salanti, Georgia – Research Synthesis Methods, 2021
It is often challenging to present the available evidence in a timely and comprehensible manner. We aimed to visualize the evolution of evidence about antidepressants for depression by conducting cumulative network meta-analyses (NMAs) and to examine whether it could have helped the selection of optimal drugs. We built a Shiny web application that…
Descriptors: Networks, Network Analysis, Meta Analysis, Drug Therapy