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Trial sequential boundaries for cumulative meta-analyses

Author

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  • Branko Miladinovic

    (University of South Florida)

  • Iztok Hozo

    (Indiana University Northwest)

  • Benjamin Djulbegovic

    (University of South Florida)

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. Copyright 2013 by StataCorp LP.

Suggested Citation

  • Branko Miladinovic & Iztok Hozo & Benjamin Djulbegovic, 2013. "Trial sequential boundaries for cumulative meta-analyses," Stata Journal, StataCorp LP, vol. 13(1), pages 77-91, March.
    • Handle: RePEc:tsj:stataj:v:13:y:2013:i:1:p:77-91
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    References listed on IDEAS

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    1. Ross J. Harris & Michael J. Bradburn & Jonathan J. Deeks & Roger M. Harbord & Douglas G. Altman & Jonathan A. C. Sterne, 2008. "metan: fixed- and random-effects meta-analysis," Stata Journal, StataCorp LP, vol. 8(1), pages 3-28, February.
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    1. Mario Dioguardi & Francesca Spirito & Diego Sovereto & Mario Alovisi & Riccardo Aiuto & Daniele Garcovich & Vito Crincoli & Luigi Laino & Angela Pia Cazzolla & Giorgia Apollonia Caloro & Michele Di Co, 2022. "The Prognostic Role of miR-31 in Head and Neck Squamous Cell Carcinoma: Systematic Review and Meta-Analysis with Trial Sequential Analysis," IJERPH, MDPI, vol. 19(9), pages 1-16, April.

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