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Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
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Network meta-analysis: Looping back.

Thomas Lumley1

  • 1Department of Statistics, University of Auckland, Auckland, New Zealand.

Research Synthesis Methods
|July 25, 2024
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Summary
This summary is machine-generated.

This discussion explores the early history of network meta-analysis (NMA). It also introduces a novel bipartite graph structure for improved representation of multi-arm trials in NMA.

Keywords:
hypergraphinconsistencymulti‐arm trialnetwork meta‐analysisrandom‐effects modeltransitivity

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Area of Science:

  • Statistics
  • Health Research Methodology

Background:

  • Network meta-analysis (NMA) synthesizes evidence from multiple randomized controlled trials.
  • Representing complex trial designs, particularly multi-arm trials, within NMA frameworks can be challenging.

Purpose of the Study:

  • To provide a historical perspective on the evolution of network meta-analysis.
  • To propose an innovative data structure for enhancing the representation of multi-arm trials in NMA.

Main Methods:

  • A narrative review of the early development of network meta-analysis.
  • The introduction and conceptualization of a bipartite graph structure for trial data.

Main Results:

  • Subjective historical insights into the origins and early growth of NMA.
  • A proposed bipartite graph model designed to accommodate the complexities of multi-arm study designs.

Conclusions:

  • Understanding the history of NMA aids in appreciating its current methodologies.
  • The proposed bipartite graph structure offers a promising approach for more accurate and comprehensive NMA of multi-arm trials.