You can download all the user-written commands described in the Meta-Analysis in Stata: An Updated Collection from the Stata Journal from within Stata. Download the installation command by using the net command. At the Stata prompt, type

      . net from http://www.stata-press.com/data/mais
      . net install mais

After installing this file, type spinst_mais to obtain all the user-written commands discussed in this collection, except for those commands listed in the appendix. Instructions on how to obtain those commands are given in the appendix. If there are any error messages after typing spinst_mais, follow the instructions at the bottom of the output to complete the download.

Table of Contents

Introduction

Install the software

1 Meta-analysis in Stata: metan, metacum, and metap
metan—a command for meta-analysis in Stata
M. J. Bradburn, J. J. Deeks, and D. G. Altman
metan: fixed- and random-effects meta-analysis
R. J. Harris, M. J. Bradburn, J. J. Deeks, R. M. Harbord, D. G. Altman, and J. A. C. Sterne
Cumulative meta-analysis
J. A. C. Sterne
Meta-analysis of p-values
A. Tobias

2 Meta-regression: metareg
Meta-regression in Stata
R. M. Harbord and J. P. T. Higgins
Meta-analysis regression
S. Sharp

3 Investigating bias in meta-analysis: metafunnel, confunnel, metabias, and metatrim
Funnel plots in meta-analysis
J. A. C. Sterne and R. M. Harbord
Contour-enhanced funnel plots for meta-analysis
T. M. Palmer, J. L. Peters, A. J. Sutton, and S. G. Moreno
Updated tests for small-study effects in meta-analyses
R. M. Harbord, R. J. Harris, and J. A. C. Sterne
Tests for publication bias in meta-analysis
T. J. Steichen
Tests for publication bias in meta-analysis
T. J. Steichen, M. Egger, and J. A. C. Sterne
Nonparametric trim and fill analysis of publication bias in meta-analysis
T. J. Steichen

4 Advanced methods: metandi, glst, metamiss, and mvmeta
metandi: Meta-analysis of diagnostic accuracy using hierarchical logistic regression
R. M. Harbord and P. Whiting
Generalized least squares for trend estimation of summarized dose–response data
N. Orsini, R. Bellocco, and S. Greenland
Meta-analysis with missing data
J. R. White and J. P. T. Higgins
Multivariate random-effects meta-analysis
J. R. White

Appendix

Author index (PDF)

Command index (PDF)