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Using conditional power of network meta‐analysis (NMA) to inform the design of future clinical trials
16 references·4 citing·36 second hop
Using conditional power of network meta‐analysis (NMA) to inform the design of future clinical trials (2014)Using conditional power of network meta‐a…Evaluation of inconsistency in networks of interventions (2013)Evaluation of inconsistency i…A graphical tool for locating inconsistency in network meta-analyses (2013)A graphical tool for locating…Sample size and power considerations in network meta-analysis (2012)Sample size and power conside…Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews (2012)Predicting the extent of hete…Network meta‐analysis, electrical networks and graph theory (2012)Network meta‐analysis, electr…Indirect and mixed‐treatment comparison, network, or multiple‐treatments meta‐analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool (2012)Indirect and mixed‐treatment …Graphical augmentations to the funnel plot assess the impact of additional evidence on a meta-analysis (2012)Graphical augmentations to th…Estimating the Power of Indirect Comparisons: A Simulation Study (2011)Estimating the Power of Indir…Sequential methods for random‐effects meta‐analysis (2010)Sequential methods for random…Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses (2008)Trial sequential analysis rev…Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis (2007)Trial sequential analysis may…Evaluation of networks of randomized trials (2007)Evaluation of networks of ran…Systematic reviews: when is an update an update? (2006)Systematic reviews: when is a…Evidence‐based sample size calculations based upon updated meta‐analysis (2006)Evidence‐based sample size ca…Combination of direct and indirect evidence in mixed treatment comparisons (2004)Combination of direct and ind…Network meta‐analysis for indirect treatment comparisons (2002)Network meta‐analysis for ind…Degree irregularity and rank probability bias in network meta-analysis (2020)Degree irregularity and rank …Synthesizing existing evidence to design future trials: survey of methodologists from European institutions (2019)Synthesizing existing evidenc…Perspective: Network Meta-analysis Reaches Nutrition Research: Current Status, Scientific Concepts, and Future Directions (2019)Perspective: Network Meta-ana…A pulmonologist's guide to understanding network meta-analysis (2018)A pulmonologist's guide to un…Quantifying heterogeneity in a meta‐analysis (2002)Cochrane Handbook for Systematic Reviews of Interventions (2008)Checking consistency in mixed treatment comparison meta‐analysis (2010)Network meta-analysis: application and practice using R software (2019)netmeta : An R Package for Network Meta-Analysis Using Frequentist Methods (2023)Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials (1995)Why Most Published Research Findings Are False (2005)Why Most Discovered True Associations Are Inflated (2008)Handbook of Meta-analysis in Ecology and Evolution (2013)Trial Sequential Analysis in systematic reviews with meta-analysis (2017)The Combination of Estimates from Different Experiments (1954)Introduction to Meta‐Analysis (2009)Network Meta-Analysis Using R: A Review of Currently Available Automated Packages (2014)Visualizing Assumptions and Results in Network Meta-analysis: The Network Graphs Package (2015)GetReal in network meta‐analysis: a review of the methodology (2016)Introduction to Meta‐Analysis (2021)Meta-analysis in clinical trials (1986)Estimating required information size by quantifying diversity in random-effects model meta-analyses (2009)Dissemination and publication of research findings: an updated review of related biases (2010)Measuring inconsistency in meta-analyses (2003)Assessing heterogeneity in meta-analysis: Q statistic or I² index? (2006)Interpreting Indirect Treatment Comparisons and Network Meta-Analysis for Health-Care Decision Making: Report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: Part 1 (2011)Conceptual and Technical Challenges in Network Meta-analysis (2013)Network meta-analysis: an introduction for clinicians (2016)10.1007/978-1-4899-4485-6 (2000)Graphical Tools for Network Meta-Analysis in STATA (2013)ROBIS: A new tool to assess risk of bias in systematic reviews was developed (2015)Assessing Risk of Bias in Included Studies (2008)Living Systematic Reviews: An Emerging Opportunity to Narrow the Evidence-Practice Gap (2014)Automated generation of node‐splitting models for assessment of inconsistency in network meta‐analysis (2015)CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis (2020)Network meta-analysis: a technique to gather evidence from direct and indirect comparisons (2017)Evaluating the Quality of Evidence from a Network Meta-Analysis (2014)Ranking treatments in frequentist network meta-analysis works without resampling methods (2015)Consistency and inconsistency in network meta‐analysis: model estimation using multivariate meta‐regression (2012)Evidence Synthesis for Decision Making 2 (2012)
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References

  • 2004Combination of direct and indirect evidence in mixed treatment comparisons2,168 cited
  • 2007Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis1,879 cited
  • 2012Indirect and mixed‐treatment comparison, network, or multiple‐treatments meta‐analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool1,722 cited
  • 2002Network meta‐analysis for indirect treatment comparisons1,204 cited
  • 2008Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses1,117 cited
  • 2007Evaluation of networks of randomized trials1,077 cited
  • 2012Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews837 cited
  • 2012Network meta‐analysis, electrical networks and graph theory728 cited
  • 2013Evaluation of inconsistency in networks of interventions577 cited
  • 2013A graphical tool for locating inconsistency in network meta-analyses459 cited
  • 2010Sequential methods for random‐effects meta‐analysis258 cited
  • 2012Sample size and power considerations in network meta-analysis197 cited
  • 2006Evidence‐based sample size calculations based upon updated meta‐analysis147 cited
  • 2006Systematic reviews: when is an update an update?

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110 cited
  • 2012Graphical augmentations to the funnel plot assess the impact of additional evidence on a meta-analysis89 cited
  • 2011Estimating the Power of Indirect Comparisons: A Simulation Study76 cited
  • Cited by

    • 2019Perspective: Network Meta-analysis Reaches Nutrition Research: Current Status, Scientific Concepts, and Future Directions37 cited
    • 2018A pulmonologist's guide to understanding network meta-analysis24 cited
    • 2020Degree irregularity and rank probability bias in network meta-analysis22 cited
    • 2019Synthesizing existing evidence to design future trials: survey of methodologists from European institutions12 cited