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Comprehensive meta analysis tutorial
Comprehensive meta analysis tutorial












Focus on random-effects models, but fewer general features than metan 2013: ipdmetan (Fisher) presented at Stata London meeting Stata Journal article followed in 2015 admetan is an ancillary ado-file 2018: admetan presented in its own right.Ĥ SSC monthly downloads Using ssccount (Choodari-Oskooei & Morris, SJ 2016)ĥ A recurring theme? “Stata should have a meta-analysis command but does not” (Stata manual, c.1998?) “Supporting it is difficult … quite a lot of time has gone into this … I will likely not have the opportunity, save in my own time, to continue this” (Sterne, 2004) “I’d be delighted if someone else took responsibility for metareg … I have no interest in this any more” (Sharp, c.2004) Luckily, Ross Harris took over metan in ~2008 and pushed it into the 2010s … but he too has long since changed jobs and priorities (N.B.

comprehensive meta analysis tutorial

COMPREHENSIVE META ANALYSIS TUTORIAL UPDATE

2010: last SSC update to metan 2010: metaan (Kontopantelis & Reeves) released. (Image source: Wikipedia)ģ A brief history of meta-analysis in Stataġ997: meta (Sharp & Sterne) 1998: metan (Bradburn, Deeks & Altman) Two packages released around the same time slightly different functionality and capabilities pre-twoway graphics 2008: metan (Harris, Bradburn, Deeks, Harbord, Altman & Sterne) – a comprehensive update, with twoway graphics etc.

comprehensive meta analysis tutorial comprehensive meta analysis tutorial

Presentation on theme: "admetan A new, comprehensive meta-analysis command"- Presentation transcript:ġ admetan A new, comprehensive meta-analysis commandĭavid Fisher MRC Clinical Trials Unit at UCL 2018 London Stata Conference, 6th September 2018Ī statistical analysis which combines the results of several independent studies considered by the analyst to be ‘combinable’ (Huque 1988) Aggregate data (AD) MA uses published results typically one observation (effect + variance) per study Individual participant data (IPD) MA uses original, raw data single observation per patient.












Comprehensive meta analysis tutorial