Trial sequential boundaries for cumulative meta-analyses
Branko Miladinovic
Center for Evidence-Based Medicine and Health Outcomes Research
University of South Florida
Tampa, FL
[email protected]
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Iztok Hozo
Department of Mathematics
Indiana University Northwest
Gary, IN
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Benjamin Djulbegovic
Center for Evidence-Based Medicine and Health Outcomes Research
University of South Florida
Tampa, FL
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Abstract. 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.
View all articles by these authors:
Branko Miladinovic, Iztok Hozo, Benjamin Djulbegovic
View all articles with these keywords:
metacumbounds, trial sequential analysis, cumulative meta-analysis, information size, Lan–DeMets bounds, monitoring boundary, cumulative z score, heterogeneity
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