Meta-analysis of single-arm trials can be challenging due to the lack of a control group for comparison. However, it's still possible to synthesize and analyze data from single-arm studies to derive overall estimates. Several statistical software packages can be used for meta-analysis, and the choice often depends on user preference, familiarity, and specific requirements. Here are some commonly used software options for conducting meta-analyses of single-arm trials:
R with Meta Package:R is a popular open-source statistical programming language, and the meta package in R is commonly used for meta-analysis. It provides functions for combining effect sizes from different studies and can handle various types of data, including single-arm trials. Example in R: RCopy codeinstall.packages("meta") library(meta) # Assuming 'data' is your dataset with effect sizes and variances meta_result
As Junior Isaac Celestin Poaty Ditengou said, R would definitely be my 1st choice because of its open access nature and flexibility. Beyond Meta Package I also really like metafor package (Homepage [The metafor Package] (metafor-project.org)).