Examining how meta‐analytic methods perform in the presence of bias: A simulation study (English)
- New search for: Bramley, Paul
- New search for: López‐López, José A.
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In:
Research Synthesis Methods
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12
, 6
;
816-830
;
2021
- Article (Journal) / Electronic Resource
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Title:Examining how meta‐analytic methods perform in the presence of bias: A simulation study
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Contributors:
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Published in:Research Synthesis Methods ; 12, 6 ; 816-830
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Publisher:
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Publication date:2021-11-01
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Size:15 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 12, Issue 6
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 681
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Issue Information| 2021
- 682
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Response to Gusenbauer M, Haddaway NR “What every researcher should know about searching – Clarified concepts, search advice, and an agenda to improve finding in academia”Johnson, Kelly / Ghezzi‐Kopel, Kate / Eldermire, Erin / Fournier, Chris / Johns, Erica / Kallaher, Amelia / Kibbee, Matthew / Miller, Christian et al. | 2021
- 684
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The age of abundant scholarly information and its synthesis– A time when ‘just google it’ is no longer enoughGusenbauer, Michael et al. | 2021
- 692
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Bayesian meta‐analysis using SAS PROC BGLIMMRott, Kollin W. / Lin, Lifeng / Hodges, James S. / Siegel, Lianne / Shi, Amy / Chen, Yong / Chu, Haitao et al. | 2021
- 701
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Extracting data from graphs: A case‐study on animal research with implications for meta‐analysesVan der Mierden, Stevie / Spineli, Loukia Maria / Talbot, Steven R. / Yiannakou, Christina / Zentrich, Eva / Weegh, Nora / Struve, Birgitta / Zur Brügge, Talke Friederike / Bleich, André / Leenaars, Cathalijn H.C. et al. | 2021
- 711
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A Q statistic with constant weights for assessing heterogeneity in meta‐analysisKulinskaya, Elena / Hoaglin, David C. / Bakbergenuly, Ilyas / Newman, Joseph et al. | 2021
- 731
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Meta‐regression methods to characterize evidence strength using meaningful‐effect percentages conditional on study characteristicsMathur, Maya B. / VanderWeele, Tyler J. et al. | 2021
- 750
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Methods for population adjustment with limited access to individual patient data: A review and simulation studyRemiro‐Azócar, Antonio / Heath, Anna / Baio, Gianluca et al. | 2021
- 776
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Detecting publication selection bias through excess statistical significanceStanley, T. D. / Doucouliagos, Hristos / Ioannidis, John P. A. / Carter, Evan C. et al. | 2021
- 796
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Measurement error in meta‐analysis (MEMA)—A Bayesian framework for continuous outcome data subject to non‐differential measurement errorCampbell, Harlan / de Jong, Valentijn M. T. / Maxwell, Lauren / Jaenisch, Thomas / Debray, Thomas P. A. / Gustafson, Paul et al. | 2021
- 816
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Examining how meta‐analytic methods perform in the presence of bias: A simulation studyBramley, Paul / López‐López, José A. / Higgins, Julian P. T. et al. | 2021
- 831
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Training sample selection: Impact on screening automation in diagnostic test accuracy reviewsvan Altena, Allard J. / Spijker, René / Leeflang, Mariska M. G. / Olabarriaga, Sílvia Delgado et al. | 2021
- 842
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ABCMETAapp: R shiny application for simulation‐based estimation of mean and standard deviation for meta‐analysis via approximate Bayesian computationKwon, Deukwoo / Reddy, Roopesh Reddy Sadashiva / Reis, Isildinha M. et al. | 2021
- 849
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Inconsistent results for Peto odds ratios in multi‐arm studies, network meta‐analysis and indirect comparisonsSchwarzer, Guido / Efthimiou, Orestis / Rücker, Gerta et al. | 2021