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Salanti, G. (2012) Indirect and Mixed-Treatment Comparison, Network, or Multiple-Treatments Meta-Analysis: Many Names, Many Benefits, Many Concerns for the Next Generation Evidence Synthesis Tool. Research Synthesis Methods, 3, 80-97.
https://doi.org/10.1002/jrsm.1037

has been cited by the following article:

• TITLE: Meta-Analysis of Multi-Arm Trials Using Binomial Approach

  AUTHORS: Hathaikan Chootrakool, Pichet Treewai

  KEYWORDS: Meta-Analysis, Multi-Arm Trials, Binomial Approach

  JOURNAL NAME: Open Journal of Statistics, Vol.12 No.1, February 7, 2022

  ABSTRACT: Most meta-analysis has concentrated on combining of treatment effect measures based on comparisons of two treatments. Meta-analysis of multi-arm trials is a key component of submission to summarize evidence from all possible studies. In this paper, an exact binomial model is proposed by using logistic regression model to compare different treatment in multi-arm trials. Two approaches such as unconditional maximum likelihood and conditional maximum likelihood have been determined and compared for the logistic regression model. The proposed models are performed using the data from 27 randomized clinical trials (RCTs) which determine the efficacy of antiplatelet therapy in reduction venous thrombosis and pulmonary embolism.