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The Stata Journal
Volume 13 Number 1: pp. 77-91



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Trial sequential boundaries for cumulative meta-analyses

Branko Miladinovic
Center for Evidence-Based Medicine and Health Outcomes Research
University of South Florida
Tampa, FL
bmiladin@health.usf.edu
Iztok Hozo
Department of Mathematics
Indiana University Northwest
Gary, IN
Benjamin Djulbegovic
Center for Evidence-Based Medicine and Health Outcomes Research
University of South Florida
Tampa, FL
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.
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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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