1. These analyses enable statements such as: "For publication bias to shift the observed point estimate to the null, 'significant' results would need to be at least 30-fold more likely to be published than negative or 'nonsignificant' results." ", Feld, Jan & Salamanca, Nicols & Zlitz, Ulf, 2019. ", Jain, Apoorva & Peter, Klara Sabirianova, 2017. Purchase this issue for $129.00 USD. The Changing Safety Net for Low-Income Parents and Their Children: Structural or Cyclical Changes in Income Support Policy? The electronic version of Applied Statistics is available at We consider a publication process in which "statistically significant" results are more likely to be published than negative or "nonsignificant" results by an unknown ratio, eta. Publication biasthat is, the selective publication of "statistically significant" results 1 has compromised the integrity of the scientific record. 1 INTRODUCTION. Our proposed methods also accommodate some plausible forms of selection based on a . Copas, J B., 2013: A likelihood-based sensitivity analysis for publication bias in meta-analysis ", Takeshima, Hiroyuki & Hatzenbuehler, Patrick L. & Edeh, Hyacinth O., 2020. Public profiles for Economics researchers, Curated articles & papers on economics topics, Upload your paper to be listed on RePEc and IDEAS, Pretend you are at the helm of an economics department, Data, research, apps & more from the St. Louis Fed, Initiative for open bibliographies in Economics, Have your institution's/publisher's output listed on RePEc. ", Ivan Ropovik & Matus Adamkovic & David Greger, 2021. TermsofUse Sensitivity analysis for publication bias in metaanalyses The Journal of the Royal Statistical Society: Series C (Applied Statistics) ( IF 1.864) Pub Date : 2020-08-28, DOI: 10.1111/rssc.12440 Maya B. Mathur, Tyler J. VanderWeele To make a more . 15. We propose sensitivity analyses for publication bias in meta-analyses. Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 [< https://osf.io/s9dp6 >]). For standard metaanalyses to examine intervention effects, the funnel plot and the trimandfill method are simple and widely used techniques for assessing and adjusting for the influence of publication bias, respectively. We consider a publication process such that "statistically significant" results are more likely to be published . Description. . Authors: Copas, John B. This allows to link your profile to this item. ReproducibilityProject: Psychology | Last Updated: : Series C (Applied Statistics) Although there is consensus that publication bias exists, how strongly it affects different scientific literatures is currently less well-known. Date created: For more information on customizing the embed code, read Embedding Snippets. We consider a publication process such that 'statistically significant' results are more likely to be published than negative or "nonsignificant" results by an unknown ratio, | A common conjecture in the study of publication bias is that studies reporting a significant result are more likely to be selected for review than studies whose results are inconclusive. A likelihood-based sensitivity analysis for publication bias in meta-analysis . Our core businesses produce scientific, technical, medical, and scholarly journals, reference works, books, database services, and advertising; professional books, subscription products, certification and training services and online applications; and education content and services including integrated online teaching and learning resources for undergraduate and graduate students and lifelong learners. Introduction. Publication bias is one of the most important issues in meta-analysis. Select a purchase Numerous s ", Franziska Gassmann & Bruno Martorano & Jennifer Waidler, 2022. DESCRIPTION file. To make a more . Year of publication: 2013. You can help correct errors and omissions. For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . Journal of the Royal Statistical Society. Our proposed methods also accommodate some plausible forms of selection based on a study's standard error. Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 []). All material on this site has been provided by the respective publishers and authors. & Fichera, Eleonora & Sutton, Matt, 2021. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation. Publication bias is a substantial problem for the credibility of research in general and of meta-analyses in particular, as it yields overestimated effects and may suggest the existence of non-existing effects. General contact details of provider: https://osf.io/preprints/ . - Vol. 2 A key assumption is that for any pair of treatments under consideration, the true relative treatment effects are either identical (fixed effect model) or exchangeable (random effect [RE] model), across all the trials in the set. option. TOP Guidelines Through the analysis of 33 articles that focused on the risk estimates of DDR genes between normal people and PCa patients, DDR genes were found to be more common in prostate cancer patients (OR = 3.6293 95% CI [2.4992; 5.2705]). Sensitivity Analysis for Publication Bias in Meta-Analyses, PublicationBias: Sensitivity Analysis for Publication Bias in Meta-Analyses. Division of Biomedical Statistics, Department of Integrated Medicine, Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka 565-0871, Japan. Abstract. The approach is motivated by a medical example in which the highly significant result of published meta-analysis was subsequently overturned by the results of a large-scale clinical trial. Our goals were i) to utilize . We propose sensitivity analyses for publication bias in meta-analyses. ", McGovern, Mark E. & Canning, David & Brnighausen, Till, 2018. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:s9dp6.See general information about how to correct material in RePEc.. For technical questions regarding this item, or to correct its authors, title, abstract . This item is part of a JSTOR Collection. Any scripts or data that you put into this service are public. We propose sensitivity analyses for publication bias in meta-analyses. | We examined evidence of publication bias . Series C (Applied Statistics), Read Online (Free) relies on page scans, which are not currently available to screen readers. A likelihoodbased sensitivity analysis for publication bias in metaanalysis . ", Feld, Jan & Salamanca, Nicols & Zlitz, Ulf, 2019. Howev Background: The present systematic review and meta-analysis critically assessed the impact of neoadjuvant chemotherapy (n ACT) in comparison to ACT in breast cancer patients in terms of oncological and functional outcomes. Download scientific diagram | Sensitivity analysis and publication bias for OS in this meta-analysis. Abstract: Sensitivity analysis for publication bias in meta-analyses. Please note that corrections may take a couple of weeks to filter through We provide an R package, PublicationBias. ", Bradley Hardy & Timothy Smeeding & James P. Ziliak, 2018. 62.2013, 1, p. 47-66 1 . | Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery. 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Provides a worst-case meta-analytic point estimate under maximal publication bias obtained simply by conducting a standard meta-analysis of only the negative and "nonsignificant" studies. For more information, These analyses enable statements such as: "For publication bias to shift the observed point estimate to the null, 'significant' results would need to be at least 30-fold more likely to be published than negative or 'nonsignificant' results." Comparable statements can . To access this article, please, Access everything in the JPASS collection, Download up to 10 article PDFs to save and keep, Download up to 120 article PDFs to save and keep. We show that a worst-case meta-analytic point estimate for maximal publication bias under the selection model can be obtained simply by conducting a standard meta-analysis of only the negative and "nonsignificant" studies; this method sometimes indicates that no amount of such publication bias could "explain away" the results. Publication bias can distort metaanalytic results, sometimes justifying considerable scepticism towards metaanalyses reporting positive findings. Epub 2017 Oct 9. View source: R/functions.R. It also allows you to accept potential citations to this item that we are uncertain about. Stanford University Description Usage Arguments Details Value References Examples. | However, their use may be subjective and can then produce misleading insights. We show that a worst-case analysis under maximal publication bias simply entails meta-analyzing only the negative and nonsignificant studies; this method sometimes indicates that no amount of such publication bias could explain away the results. In practice it is difficult . The effectiveness of mindfulness-based interventions for ruminative thinking: A systematic review and meta-analysis of randomized controlled trials To aid interpretation, we describe empirical benchmarks for plausible values of eta across disciplines. 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Request Permissions, Journal of the Royal Statistical Society. Publication bias is an inevitable problem in the systematic review and metaanalysis. Sensitivity analysis for publication bias in meta-analysis of diagnostic studies for a continuous biomarker. Copas JB. | We propose sensitivity analyses for publication bias in meta-analyses. If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
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