What question did this study set out to answer?

This study aims to automate the process of network meta-analysis (MTC) to enhance efficiency and reduce errors.

Automating network meta‐analysis

View Full Paper

Ask AI

Bookmark

This study aims to automate the process of network meta-analysis (MTC) to enhance efficiency and reduce errors.
Developed a method for automated generation of Bayesian homogeneous variance random effects consistency models.
Implemented model generation using well-structured data files to minimize manual effort.
Validated the method against five published MTCs.
The automation significantly reduces time and effort in performing MTCs.
Facilitated error checking of datasets leading to improved data integrity.
Implemented method is available as open-source software for wider accessibility.

No takes yet. Share an insight, caveat, or question.

Randomized trial automates network meta-analysis in clinical studies, indicating improved efficiency.

Valkenhoef et al. (2012) studied this question.

View Full Paper

Ask AI

Bookmark