How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?

Jackson, Dan; Bowden, Jack; Baker, Rose

doi:10.1016/j.jspi.2009.09.017

Cited by 166 publications

(171 citation statements)

References 24 publications

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“…42 REML is more sensitive in meta-analyses including smaller studies. 43 Mean effect sizes obtained were reversed and a positive effect of CBT was represented by a positive effect size, and vice-versa. The threshold for statistical significance was an alpha value of 0.05.…”

Section: Meta-analysismentioning

confidence: 98%

Efficacy of Cognitive Behavioral Therapy for Generalized Anxiety Disorder in Older Adults: Systematic Review, Meta-Analysis, and Meta-Regression

Hall

Kellett

Berrios

et al. 2016

The American Journal of Geriatric Psychiatry

116

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Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) licence. This licence only allows you to download this work and share it with others as long as you credit the authors, but you can't change the article in any way or use it commercially. More information and the full terms of the licence here: https://creativecommons.org/licenses/ Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. and six-month follow-up, significant treatment effects favoring CBT were found in comparison to a waitlist or treatment-as-usual. When CBT was compared with active controls, a small non-significant treatment advantage was found for CBT at the end of treatment, with equivalence of outcomes at follow-up. Treatment effect size of CBT for GAD was significantly associated with attrition rates and depression outcomes. Conclusions: CBT is more helpful than having no treatment for GAD in later life. However, whether CBT shows long-term durability, or is superior to other commonly available treatments (such as supportive psychotherapy), remains to be tested. The relationship between treatment effects for GAD and depression following CBT warrants further research. Efficacy of CBT for GAD in

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Section: Meta-analysismentioning

confidence: 98%

Efficacy of Cognitive Behavioral Therapy for Generalized Anxiety Disorder in Older Adults: Systematic Review, Meta-Analysis, and Meta-Regression

Hall

Kellett

Berrios

et al. 2016

The American Journal of Geriatric Psychiatry

116

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“…5 The accessibility of the DerSimonian-Laird (DL) method and its inclusion in common meta-analysis software such as RevMan 6 has led to it being the most common method for using random effects in metaanalyses, and it is a fairly reliable approximation when the number of studies is large. 7 Note that failure to account for the heterogeneity between studies will result in an underestimation of the variability of the overall effect h 5 This means that leaving out the random effect leads to us assuming that we have a more precise measure of h than we really do, resulting in an inflated rate of false positives. In the meta-analytic application in Elgandy et al, a false positive would be where one declares that the type of MPI test (appropriate vs inappropriate) indicates a statistically significant difference in the probability of an outcome (e.g., abnormal test or ischemia) when in fact none exists.…”

Section: See Related Article Pp 680-689mentioning

confidence: 99%

“…It has been noted that the DL method can severely underestimate D 2 when the underlying proportion is near zero or one, 8 or if the number of studies is small (\20). 7,8 The method has also been found to produce an inflated false positive rate for the overall conclusion when there is a large variation in the sample sizes of the included studies; a tenfold difference in study size was found to produce results with very poor statistical properties using the DL method. 9 The majority of these issues are due to the original DL method being based on a simple approximation, which does behave well when the number of studies is large and the studies themselves are fairly uniform.…”

Section: See Related Article Pp 680-689mentioning

confidence: 99%

“…9 The majority of these issues are due to the original DL method being based on a simple approximation, which does behave well when the number of studies is large and the studies themselves are fairly uniform. 7 More sophisticated approximations have been proposed that have better statistical properties but can still be easily computed. 9,10 Research still consistently finds that more computationally intensive methods that utilize the full likelihood function have the best statistical properties, 5,7,8,10 although they require software such as SAS, the 'metafor' package in R, or Comprehensive Meta-Analysis 3.0 (which Elgendy et al used).…”

Section: See Related Article Pp 680-689mentioning

confidence: 99%

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An application of meta-analysis based on DerSimonian and Laird method

George

Aban

2016

Journal of Nuclear Cardiology

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In this issue, Elgendy et al discuss their findings from a meta-analysis of 22 studies that examined the clinical use of myocardial perfusion imaging (MPI) in situations not covered by the appropriate use criteria (AUC) put forth by the American College of Cardiology (ACC). In particular, the authors were interested in whether the inappropriate use of MPI resulted in different detection rates of cardiac ischemia or other abnormal findings compared to MPI used according to AUC. 1It is common in clinical research for an important research topic to have more than one study exploring that topic. There are many reasons for this, from replication and validation to assessing an effect or association in a different population. Meta-analysis allows researchers to compile the findings from different studies on a single topic in a structured, quantitative manner and use the joint knowledge of the field to make a more informed conclusion about a topic than from one study alone, or from multiple studies in a qualitative manner. As technology makes the aggregation of the research in a field more and more feasible, the scientific and funding communities are viewing meta-analysis as an efficient use of resources to get a definitive answer on a well-studied topic.Conceptually, meta-analysis is similar to a typical study on individual patients. A standard study involves sampling subjects, where each subject has a particular outcome (e.g., treatment effect) to be measured. A metaanalysis involves sampling studies on a topic, where each study has an aggregate outcome (e.g., a mean treatment effect) to be measured. In both cases, the outcomes from the sampling units are statistically compiled to produce an overall conclusion about that outcome in the population; for standard studies the population refers to the subject population, while for meta-analyses the population is all possible studies on that topic.In standard studies, proper sampling methods are necessary so the sample is representative of the underlying population and selection bias is avoided. The same holds true for meta-analysis, where one wants the sample of studies to be representative of all possible studies on a subject. Unfortunately, the number of available studies on a topic is usually small and may be reduced further due to subject-specific exclusion criteria. Although Elgendy et al found hundreds of thousands of papers with a broad keyword search on MEDLINE, only 171 fit all of their relevant keywords; this 171 was further reduced down to 22 studies after manual review excluded papers that were not relevant, duplicates, or did not report usable data. It should be noted that one should take care to minimize the effects of publication bias in the literature search so that the sample of studies is truly representative of all studies done, not just those with favorable results; review of prospective registries (such as clinicaltrials.gov), conference proceedings, and technical reports may help identify studies that would have otherwise gone unnoticed. 2To further r...

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“…The inherent differences between studies introduce the concept of heterogeneity among the effect sizes. To account for this heterogeneity in computing the summary correlation, we used the inverse variance method for pooling the correlations, and we used the DerSimonian-Laird method to estimate the heterogeneity variance among studies (Jackson, Bowden, & Baker, 2009). Under the DerSimonian-Lair method let Yi be the treatment effect of the ith study where…”

Section: Data Conversionmentioning

confidence: 99%

Modeling Hepatitis C treatment policy.

Kuypers¹,

L’Ambert²,

Moore³

et al. 2013

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Chronic infection with Hepatitis C virus (HCV) results in cirrhosis, liver cancer and death. As the nation's largest provider of care for HCV, US Veterans Health Administration (VHA) invests extensive resources in the diagnosis and treatment of the disease. This report documents modeling and analysis of HCV treatment dynamics performed for the VHA aimed at improving service delivery efficiency. System dynamics modeling of disease treatment demonstrated the benefits of early detection and the role of comorbidities in disease progress and patient mortality. Preliminary modeling showed that adherence to rigorous treatment protocols is a primary determinant of treatment success. In depth meta-analysis revealed correlations of adherence and various psycho-social factors. This initial meta-analysis indicates areas where substantial improvement in patient outcomes can potentially result from VA programs which incorporate these factors into their design. 5 CONTENTS

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How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?

Cited by 166 publications

References 24 publications

Efficacy of Cognitive Behavioral Therapy for Generalized Anxiety Disorder in Older Adults: Systematic Review, Meta-Analysis, and Meta-Regression

Efficacy of Cognitive Behavioral Therapy for Generalized Anxiety Disorder in Older Adults: Systematic Review, Meta-Analysis, and Meta-Regression

An application of meta-analysis based on DerSimonian and Laird method

Modeling Hepatitis C treatment policy.

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