Search Results - "Julian, T"

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    Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments by McGuinness, Luke A., Higgins, Julian P. T.

    Published in Research synthesis methods (01-01-2021)
    “…Despite a major increase in the range and number of software offerings now available to help researchers produce evidence syntheses, there is currently no…”
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    Graphical tools for network meta-analysis in STATA by Chaimani, Anna, Higgins, Julian P T, Mavridis, Dimitris, Spyridonos, Panagiota, Salanti, Georgia

    Published in PloS one (03-10-2013)
    “…Network meta-analysis synthesizes direct and indirect evidence in a network of trials that compare multiple interventions and has the potential to rank the…”
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  3. 3

    CINeMA: An approach for assessing confidence in the results of a network meta-analysis by Nikolakopoulou, Adriani, Higgins, Julian P T, Papakonstantinou, Theodoros, Chaimani, Anna, Del Giovane, Cinzia, Egger, Matthias, Salanti, Georgia

    Published in PLoS medicine (01-04-2020)
    “…The evaluation of the credibility of results from a meta-analysis has become an important part of the evidence synthesis process. We present a methodological…”
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    Evaluating the quality of evidence from a network meta-analysis by Salanti, Georgia, Del Giovane, Cinzia, Chaimani, Anna, Caldwell, Deborah M, Higgins, Julian P T

    Published in PloS one (03-07-2014)
    “…Systematic reviews that collate data about the relative effects of multiple interventions via network meta-analysis are highly informative for decision-making…”
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    Future therapies for cystic fibrosis by Allen, Lucy, Allen, Lorna, Carr, Siobhan B., Davies, Gwyneth, Downey, Damian, Egan, Marie, Forton, Julian T., Gray, Robert, Haworth, Charles, Horsley, Alexander, Smyth, Alan R., Southern, Kevin W., Davies, Jane C.

    Published in Nature communications (08-02-2023)
    “…We are currently witnessing transformative change for people with cystic fibrosis with the introduction of small molecule, mutation-specific drugs capable of…”
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    A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses by Langan, Dean, Higgins, Julian P.T., Jackson, Dan, Bowden, Jack, Veroniki, Areti Angeliki, Kontopantelis, Evangelos, Viechtbauer, Wolfgang, Simmonds, Mark

    Published in Research synthesis methods (01-03-2019)
    “…Studies combined in a meta‐analysis often have differences in their design and conduct that can lead to heterogeneous results. A random‐effects model accounts…”
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    The Prevalence of Non-Alcoholic Fatty Liver Disease in Children and Adolescents: A Systematic Review and Meta-Analysis by Anderson, Emma L, Howe, Laura D, Jones, Hayley E, Higgins, Julian P T, Lawlor, Debbie A, Fraser, Abigail

    Published in PloS one (29-10-2015)
    “…Narrative reviews of paediatric NAFLD quote prevalences in the general population that range from 9% to 37%; however, no systematic review of the prevalence of…”
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    Empirical Evidence of Study Design Biases in Randomized Trials: Systematic Review of Meta-Epidemiological Studies by Page, Matthew J, Higgins, Julian P T, Clayton, Gemma, Sterne, Jonathan A C, Hróbjartsson, Asbjørn, Savović, Jelena

    Published in PloS one (11-07-2016)
    “…To synthesise evidence on the average bias and heterogeneity associated with reported methodological features of randomized trials. Systematic review of…”
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    Methods to estimate the between-study variance and its uncertainty in meta-analysis by Veroniki, Areti Angeliki, Jackson, Dan, Viechtbauer, Wolfgang, Bender, Ralf, Bowden, Jack, Knapp, Guido, Kuss, Oliver, Higgins, Julian PT, Langan, Dean, Salanti, Georgia

    Published in Research synthesis methods (01-03-2016)
    “…Meta‐analyses are typically used to estimate the overall/mean of an outcome of interest. However, inference about between‐study variability, which is typically…”
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    FlyAtlas 2: a new version of the Drosophila melanogaster expression atlas with RNA-Seq, miRNA-Seq and sex-specific data by Leader, David P, Krause, Sue A, Pandit, Aniruddha, Davies, Shireen A, Dow, JulianT

    Published in Nucleic acids research (04-01-2018)
    “…Abstract FlyAtlas 2 (www.flyatlas2.org) is part successor, part complement to the FlyAtlas database and web application for studying the expression of the…”
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    Pro-inflammatory T helper 17 directly harms oligodendrocytes in neuroinflammation by Larochelle, Catherine, Wasser, Beatrice, Jamann, Hélène, Löffel, Julian T., Cui, Qiao-Ling, Tastet, Olivier, Schillner, Miriam, Luchtman, Dirk, Birkenstock, Jérôme, Stroh, Albrecht, Antel, Jack, Bittner, Stefan, Zipp, Frauke

    “…T helper (Th)17 cells are considered to contribute to inflammatory mechanisms in diseases such as multiple sclerosis (MS). However, the discussion persists…”
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    Meta-Analysis and Subgroups by Borenstein, Michael, Higgins, Julian P. T.

    Published in Prevention science (01-04-2013)
    “…Subgroup analysis is the process of comparing a treatment effect for two or more variants of an intervention—to ask, for example, if an intervention’s impact…”
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    Conceptual and Technical Challenges in Network Meta-analysis by CIPRIANI, Andrea, HIGGINS, Julian P. T, GEDDES, John R, SALANTI, Georgia

    Published in Annals of internal medicine (16-07-2013)
    “…The increase in treatment options creates an urgent need for comparative effectiveness research. Randomized, controlled trials comparing several treatments are…”
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    Detecting respiratory infection in children with cystic fibrosis: Cough swab, sputum induction or bronchoalveolar lavage by Forton, Julian T.

    Published in Paediatric respiratory reviews (01-08-2019)
    “…Young children with cystic fibrosis (CF) are generally very well, cough free and non-productive, and are often incapable of spontaneously expectorating sputum…”
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    A re-evaluation of fixed effect(s) meta-analysis by Rice, Kenneth, Higgins, Julian P. T., Lumley, Thomas

    “…Meta-analysis is a common tool for synthesizing results of multiple studies. Among methods for performing meta-analysis, the approach known as 'fixed effects'…”
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    Functional characteristics of Th1, Th17, and ex-Th17 cells in EAE revealed by intravital two-photon microscopy by Loos, Julia, Schmaul, Samantha, Noll, Theresa Marie, Paterka, Magdalena, Schillner, Miriam, Löffel, Julian T, Zipp, Frauke, Bittner, Stefan

    Published in Journal of neuroinflammation (26-11-2020)
    “…Abstract Background T helper (Th) 17 cells are a highly plastic subset of T cells, which in the context of neuroinflammation, are able to acquire pathogenic…”
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