Jim Weir and Stephen Senn are grateful to Novartis for providing funding for developing the macros.

Macro | Description | Link |

mabinary | To carry out various approaches to analysing binary data including classic Mantel-Haenszel analysis but also, for example, the analysis of Normal-binomial mixtures using PROC NLMIXED®. | mabinary.sas |

maforest | To produce so-called forest plots whereby individual trials are represented by horizontal lines joining lower and upper confidence limits with a plotting symbol for the estimate and a final line and symbol for the overall meta-analytic summary | maforest.sas |

mafunnel | To produce funnel plots. These plot the treatment estimate on the horizontal axis and the reciprocal of the standard error of the treatment estimate on the vertical axis. | mafunnel.sas |

magalbraith | To produce radial or Galbraith plots as described in Statistics in Medicine,
1988.7,889-894. These plot the Z-scores,
that is to say the ratio of estimated treatment effect to standard error,
against the reciprocal of the standard error, where the latter is calculated as for a fixed effects analysis. |
magalbraith.sas |

mainverse | To carry out classic fixed effects meta-analysis using inverse weighting by variances of treatment contrasts. | mainverse.sas |

mapeterlee | To implement Lee’s checks as described in
Statistics in Medicine,1999,18,1973-1981. |
mapeterlee.sas |

maqq | To produce QQ plots of estimated treatment effects by trial. | maqq.sas |

marandom | To carry out random effects analysis using the approach of
DerSimonian and Laird (DSL), Controlled Clinical Trials, 1986,7,177-188
and also using that of Hardy and Thompson(HT), Statistics in Medicine, 1996,15,
619-629. |
marandom.sas |

masensitivity | To examine the sensitivity of conclusions from random effects analysis to the magnitude of the random effects variance. | masensitivity.sas |

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