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However, it has become popular in recent years among various secular populations in healthcare, educational and workplace settings: from pre-school children to older adults across the world. Mindfulness is rooted in Buddhist traditions. These two programmes include eight weekly mindfulness sessions with one-day retreat. Among all the MBIs, mindfulness-based stress reduction (MBSR), which was launched by Jon Kabat-Zinn in 1979, 2 and mindfulness-based cognitive therapy (MBCT) by Segal, Teasdale and Williams based on MBSR, 3, 4 are the two most widely adopted MBIs. Many mindfulness-based intervention (MBI) programmes have been established. breathing, sitting, walking, body scan) or informal (e.g. 1 Mindfulness practices aim to cultivate mindfulness state. Being mindful is related to be open, nonjudgmental, friendly, curious, accepting, compassionate and kind. Mindfulness is a moment-by-moment awareness of thoughts, feelings, bodily sensations and surrounding environment. Schwarzer G, Carpenter JR and Rücker G (2015): Meta-Analysis with R (Use R!).Mindfulness and mindfulness-based interventions Rücker G, Petropoulou M, Schwarzer G (2020): Network meta-analysis of multicomponent interventions. Rücker G, Schwarzer G (2017): Resolve conflicting rankings of outcomes in network meta-analysis: Partial ordering of treatments. Rücker G, Schwarzer G (2016): Automated drawing of network plots in network meta-analysis. Rücker G, Schwarzer G (2015): Ranking treatments in frequentist network meta-analysis works without resampling methods. Rücker G, Schwarzer G (2014): Reduce dimension or reduce weights? Comparing two approaches to multi-arm studies in network meta-analysis. Rücker G (2012): Network meta-analysis, electrical networks and graph theory. Papakonstantinou T, Nikolakopoulou A, Rücker G, Chaimani A, Schwarzer G, Egger M, Salanti G (2018): Estimating the contribution of studies in network meta-analysis: paths, flows and streams.
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Krahn U, Binder H, König J (2013): A graphical tool for locating inconsistency in network meta-analyses. König J, Krahn U, Binder H (2013): Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons.
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(2019): A Mantel-Haenszel model for network meta-analysis of rare Statistics in Medicine, 29, 932-44Įfthimiou O, Rücker G, Schwarzer G, Higgins J, Egger M, Salanti G Available on arXivĭias S, Welton NJ, Caldwell DM, Ades AE (2010): Checking consistency in mixed treatment comparison meta-analysis. Research Synthesis Methods, 3, 161-76ĭavies AL, Papakonstantinou T, Nikolakopoulou A, Rücker G, Galla T (2021): Network meta-analysis and random walks. Journal of Chemometrics, 28, 226-34Ĭhaimani A, Salanti G (2012): Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions. (2015), Chapter 8 "Network Meta-Analysis",Ĭarlsen L, Bruggemann R (2014): Partial order methodology: a valuable tool in chemometrics. Rankograms and ranking by Surface Under the Cumulative RAnking curve (SUCRA) values Ĭontribution matrix ( Papakonstantinou et al.,įurthermore, R package netmeta provides functions and datasets to 'comparison-adjusted' funnel plot ( Chaimani & Salanti,Īutomated drawing of network graphs ( Rücker & Schwarzer, Method or the non-central hypergeometric distribution ( Efthimiou Network meta-analysis of binary data using the Mantel-Haenszel League table with network meta-analysis results Īdditive network meta-analysis for combinations of treatments Split direct and indirect evidence to check consistency ( Dias et
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Partial order of treatment rankings ('poset') and Hasse diagram Ranking of treatments based on frequentist analogue of SUCRA Measures characterizing the flow of evidence between two Net heat plot and design-based decomposition of Cochran's Q Official Git repository of R package netmetaĪ comprehensive set of functions providing frequentist methods forįrequentist network meta-analysis ( Rücker, 2012 Rücker & Schwarzer, 2014) Netmeta: Network Meta-Analysis using Frequentist Methods