Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses

Jesper Brok; Kristian Thorlund; Christian Gluud; Jørn Wetterslev

doi:10.1016/j.jclinepi.2007.10.007

Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses

Jesper Brok, Kristian Thorlund, Christian Gluud, Jørn Wetterslev

Copenhagen Trial Unit

861 Citations (Scopus)

Abstract

To evaluate meta-analyses with trial sequential analysis (TSA). TSA adjusts for random error risk and provides the required number of participants (information size) in a meta-analysis. Meta-analyses not reaching information size are analyzed with trial sequential monitoring boundaries analogous to interim monitoring boundaries in a single trial.

Original language	English
Journal	Journal of Clinical Epidemiology
Volume	61
Issue number	8
Pages (from-to)	763-9
Number of pages	7
ISSN	0895-4356
DOIs	https://doi.org/10.1016/j.jclinepi.2007.10.007
Publication status	Published - Aug 2008

Keywords

Data Interpretation, Statistical
False Positive Reactions
Humans
Infant, Newborn
Meta-Analysis as Topic
Randomized Controlled Trials as Topic
Research Design
Review Literature as Topic
Sample Size

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10.1016/j.jclinepi.2007.10.007

Cite this

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title = "Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses",

abstract = "To evaluate meta-analyses with trial sequential analysis (TSA). TSA adjusts for random error risk and provides the required number of participants (information size) in a meta-analysis. Meta-analyses not reaching information size are analyzed with trial sequential monitoring boundaries analogous to interim monitoring boundaries in a single trial.",

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AU - Thorlund, Kristian

AU - Gluud, Christian

AU - Wetterslev, Jørn

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AB - To evaluate meta-analyses with trial sequential analysis (TSA). TSA adjusts for random error risk and provides the required number of participants (information size) in a meta-analysis. Meta-analyses not reaching information size are analyzed with trial sequential monitoring boundaries analogous to interim monitoring boundaries in a single trial.

KW - Data Interpretation, Statistical

KW - False Positive Reactions

KW - Humans

KW - Infant, Newborn

KW - Meta-Analysis as Topic

KW - Randomized Controlled Trials as Topic

KW - Research Design

KW - Review Literature as Topic

KW - Sample Size

U2 - 10.1016/j.jclinepi.2007.10.007

DO - 10.1016/j.jclinepi.2007.10.007

M3 - Journal article

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SN - 0895-4356

VL - 61

SP - 763

EP - 769

JO - Journal of Clinical Epidemiology

JF - Journal of Clinical Epidemiology

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ER -

Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses

Abstract

Keywords

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