Trial sequential boundaries for cumulative meta-analyses

We present a new command, metacumbounds, for the estimation of trial sequential monitoring boundaries in cumulative meta-analyses. The approach is based on the Lan–DeMets method for estimating group sequential boundaries in individual randomized controlled trials by using the package ldbounds in R statistical software. Through Stata’s metan command, metacumbounds plots the Lan–DeMets bounds, z-values, and p-values obtained from both fixed and randomeffects cumulative meta-analyses. The analysis can be performed with count data or on the hazard scale for time-to-event data.


Issue Date:
2013
Publication Type:
Journal Article
DOI and Other Identifiers:
st0284 (Other)
PURL Identifier:
http://purl.umn.edu/241329
Published in:
Stata Journal, Volume 13, Number 1
Page range:
77-91
Total Pages:
17

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 Record created 2017-04-01, last modified 2017-08-29

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