Current release: v4.03 12oct2022
A set of routines for conducting two-stage individual participant meta-analysis, and forest plots for trial subgroup analysis. The two-stage routine, ipdmetan, loops over a series of categories, fits the desired model to the data within each, and generates pooled effects, heterogeneity statistics etc, as appropriate; aggregate data may also be included from an external dataset. ipdover extends the use-case beyond the meta-analytic context, for example for creating a forest plot of a series of (potentially overlapping) subgroups within a single randomized trial. This package is dependent upon the metan package; please ensure that the latest version of the metan package is installed.
We currently recommend installation via the Stata Statistical Software Components (SSC) archive. To see a package description, including contents, type within Stata:
. ssc describe ipdmetan
...and to perform the installation, type:
. ssc install ipdmetan
Package updates via SSC are handled using the ado update command; see the built-in Stata documentation.
Alternatively, the package may be installed directly from GitHub, by typing:
. net describe ipdmetan, from("https://raw.githubusercontent.com/UCL/ipdmetan/master/src/")
Currently, documentation on usage and options may be found in the documentation files within Stata. After installation, type in Stata:
. help ipdmetan