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There are often multiple potential interventions to treat a disease; therefore, we need a method for simultaneously comparing and ranking all of these available interventions. In contrast to pairwise meta-analysis, which allows for the comparison of one intervention to another based on head-to-head data from randomized trials, network meta-analysis ...
Jennifer, Watt, Cinzia, Del Giovane
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Network meta-analysis is a popular way to combine results from several studies (usually randomized trials) comparing several treatments or interventions. It has usually been performed in a Bayesian setting, but recently it has become possible in a frequentist setting using multivariate meta-analysis and meta-regression, implemented in Stata with mvmeta.
Nikolakopoulou, Adriani +2 more
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Progress and challenges of network meta‐analysis [PDF]
AbstractIn the past years, network meta‐analysis (NMA) has been widely used among clinicians, guideline makers, and health technology assessment agencies and has played an important role in clinical decision‐making and guideline development. To inform further development of NMAs, we conducted a bibliometric analysis to assess the current status of ...
Jinhui Tian +21 more
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Software to Conduct a Meta-Analysis and Network Meta-Analysis
2021Statistical software for meta-analysis (MA) and network meta-analysis (NMA) have become indispensable for researchers. The aim of this chapter is to introduce key features of MA and NMA software to compare the effectiveness of interventions. Commonly used or routinely maintained statistical software are reviewed, including commercial and open-sourced ...
Caitlin, Daly, Charlene, Soobiah
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Automating network meta‐analysis
Research Synthesis Methods, 2012Mixed treatment comparison (MTC) (also called network meta‐analysis) is an extension of traditional meta‐analysis to allow the simultaneous pooling of data from clinical trials comparing more than two treatment options. Typically, MTCs are performed using general‐purpose Markov chain Monte Carlo software such as WinBUGS, requiring a model and data to ...
van Valkenhoef, Gert +5 more
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Transportability in Network Meta-analysis
Epidemiology, 2016Network meta-analysis is an extension of the conventional pair wise meta-analysis to include treatments that have not been compared head to head. It has in recent years caught the interest of clinical investigators in comparative effectiveness research.
Conrad, Kabali, Marya, Ghazipura
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Network meta-analysis in a nutshell
Evidence Based Mental Health, 2019In most, if not all, healthcare conditions, there is a plethora of competing interventions with few head-to-head comparisons and classical meta-analysis fails to handle simultaneously the multiple comparisons among interventions. Network meta-analysis is an extension of pairwise meta-analysis to accommodate multiple interventions and comparisons.
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Individual Patient Data Meta-Analysis and Network Meta-Analysis
2021Meta-analyses are often conducted using trial-level summary data. However, when individual patient data (IPD ) is available, there is greater flexibility in the analysis and a wider range of statistical models that can be fitted. There are two approaches to fitting IPD models.
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This chapter details network meta-analysis (NMA), a statistical method for indirectly comparing treatments using data from multiple randomised controlled trials (RCTs). It explains the underlying principles, including the consistency assumption and its implications, and demonstrates how to perform NMA using both Bayesian and frequentist approaches in R,
Thom, Howard Z +3 more
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Thom, Howard Z +3 more
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