Meta-analysis using Python: a hands-on tutorial.

ABSTRACT:

Background

Meta-analysis is a central method for quality evidence generation. In particular, meta-analysis is gaining speedy momentum in the growing world of quantitative information. There are several software applications to process and output expected results. Open-source software applications generating such results are receiving more attention. This paper uses Python's capabilities to provide applicable instruction to perform a meta-analysis.

Methods

We used the PythonMeta package with several modifications to perform the meta-analysis on an open-access dataset from Cochrane. The analyses were complemented by employing Python's zEpid package capable of creating forest plots. Also, we developed Python scripts for contour-enhanced funnel plots to assess funnel plots asymm

SUBMITTER: Masoumi S 

PROVIDER: S-EPMC9275021 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature