https://github.com/ucl/ipdmetan

Two-stage meta-analysis of Individual Participant Data (IPD)
https://github.com/ucl/ipdmetan

individual-participant-data individual-patient-data ipd meta-analysis stata two-stage

Last synced: 4 months ago
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Two-stage meta-analysis of Individual Participant Data (IPD)

• Host: GitHub
• URL: https://github.com/ucl/ipdmetan
• Owner: UCL
• License: gpl-3.0
• Created: 2022-02-08T16:36:10.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-02-07T16:10:04.000Z (over 2 years ago)
• Last Synced: 2025-09-16T04:46:53.048Z (9 months ago)
• Topics: individual-participant-data, individual-patient-data, ipd, meta-analysis, stata, two-stage
• Language: Stata
• Homepage: https://journals.sagepub.com/doi/pdf/10.1177/1536867X1501500203
• Size: 653 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          


# ipdmetan

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.

# Installation

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/")

# Usage and documentation

Currently, documentation on usage and options may be found in the documentation files within Stata.  After installation, type in Stata:

    . help ipdmetan