2015
DOI: 10.1002/sim.6473
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No solution yet for combining two independent studies in the presence of heterogeneity

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Cited by 65 publications
(87 citation statements)
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“…For some time, the DerSimonian‐Laird method is criticized due to its unfavorable statistical properties, especially in the case of few available studies . The main problem of the DerSimonian‐Laird method is that the uncertainty of the estimation of the between‐study and within‐study variance is ignored .…”
Section: Methods For Evidence Synthesismentioning
confidence: 99%
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“…For some time, the DerSimonian‐Laird method is criticized due to its unfavorable statistical properties, especially in the case of few available studies . The main problem of the DerSimonian‐Laird method is that the uncertainty of the estimation of the between‐study and within‐study variance is ignored .…”
Section: Methods For Evidence Synthesismentioning
confidence: 99%
“…However, in the extreme case of only k = 2 studies, the Knapp‐Hartung method with variance correction tends to be over‐conservative. Therefore, the situation of k = 2 studies was considered as effectively unsolved . Wiksten et al recommended to apply the RE meta‐analysis based upon the Knapp‐Hartung method and to conduct a sensitivity analysis using the CE meta‐analysis in practice to avoid misleading results.…”
Section: Methods For Evidence Synthesismentioning
confidence: 99%
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“…There were no outcome variables available that were measured with the same assessment method in five or more of the included studies. A serious meta‐analysis, therefore, was not possible as results are considered unreliable when a small number of heterogeneous studies is assessed …”
Section: Methodsmentioning
confidence: 99%