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Apparently conclusive meta-analyses may be inconclusive--Trial sequential analysis adjustment of random error risk due to repetitive testing of accumulating data in apparently conclusive neonatal meta-analyses

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@article{0e3d45e8772e45279c16d500f7e9d5aa,
title = "Apparently conclusive meta-analyses may be inconclusive--Trial sequential analysis adjustment of random error risk due to repetitive testing of accumulating data in apparently conclusive neonatal meta-analyses",
abstract = "Random error may cause misleading evidence in meta-analyses. The required number of participants in a meta-analysis (i.e. information size) should be at least as large as an adequately powered single trial. Trial sequential analysis (TSA) may reduce risk of random errors due to repetitive testing of accumulating data by evaluating meta-analyses not reaching the information size with monitoring boundaries. This is analogous to sequential monitoring boundaries in a single trial.",
keywords = "Data Interpretation, Statistical, Humans, Infant, Newborn, Infant, Newborn, Diseases, Meta-Analysis as Topic, Randomized Controlled Trials as Topic, Review Literature as Topic, Sample Size",
author = "Jesper Brok and Kristian Thorlund and J{\o}rn Wetterslev and Christian Gluud",
year = "2009",
month = feb,
doi = "10.1093/ije/dyn188",
language = "English",
volume = "38",
pages = "287--98",
journal = "International Journal of Epidemiology",
issn = "0300-5771",
publisher = "Oxford University Press",
number = "1",

}

RIS

TY - JOUR

T1 - Apparently conclusive meta-analyses may be inconclusive--Trial sequential analysis adjustment of random error risk due to repetitive testing of accumulating data in apparently conclusive neonatal meta-analyses

AU - Brok, Jesper

AU - Thorlund, Kristian

AU - Wetterslev, Jørn

AU - Gluud, Christian

PY - 2009/2

Y1 - 2009/2

N2 - Random error may cause misleading evidence in meta-analyses. The required number of participants in a meta-analysis (i.e. information size) should be at least as large as an adequately powered single trial. Trial sequential analysis (TSA) may reduce risk of random errors due to repetitive testing of accumulating data by evaluating meta-analyses not reaching the information size with monitoring boundaries. This is analogous to sequential monitoring boundaries in a single trial.

AB - Random error may cause misleading evidence in meta-analyses. The required number of participants in a meta-analysis (i.e. information size) should be at least as large as an adequately powered single trial. Trial sequential analysis (TSA) may reduce risk of random errors due to repetitive testing of accumulating data by evaluating meta-analyses not reaching the information size with monitoring boundaries. This is analogous to sequential monitoring boundaries in a single trial.

KW - Data Interpretation, Statistical

KW - Humans

KW - Infant, Newborn

KW - Infant, Newborn, Diseases

KW - Meta-Analysis as Topic

KW - Randomized Controlled Trials as Topic

KW - Review Literature as Topic

KW - Sample Size

U2 - 10.1093/ije/dyn188

DO - 10.1093/ije/dyn188

M3 - Journal article

C2 - 18824466

VL - 38

SP - 287

EP - 298

JO - International Journal of Epidemiology

JF - International Journal of Epidemiology

SN - 0300-5771

IS - 1

ER -

ID: 38923291