Hasil Pencarian - Richard D. Riley

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  1. 1
    A random effects meta-analysis model with Box-Cox transformation

    A random effects meta-analysis model with Box-Cox transformation oleh Yusuke Yamaguchi, Kazushi Maruo, Christopher Partlett, Richard D. Riley

    Diterbitkan 2017-07-01
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  2. 2
    Targeted validation: validating clinical prediction models in their intended population and setting

    Targeted validation: validating clinical prediction models in their intended population and setting oleh Matthew Sperrin, Richard D. Riley, Gary S. Collins, Glen P. Martin

    Diterbitkan 2022-12-01
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  3. 3
    Excision repair cross-complementation group 1 (ERCC1) status and lung cancer outcomes: a meta-analysis of published studies and recommendations.

    Excision repair cross-complementation group 1 (ERCC1) status and lung cancer outcomes: a meta-analysis of published studies and recommendations. oleh Richard A Hubner, Richard D Riley, Lucinda J Billingham, Sanjay Popat

    Diterbitkan 2011-01-01
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  4. 4
    The statistical importance of a study for a network meta-analysis estimate

    The statistical importance of a study for a network meta-analysis estimate oleh Gerta Rücker, Adriani Nikolakopoulou, Theodoros Papakonstantinou, Georgia Salanti, Richard D. Riley, Guido Schwarzer

    Diterbitkan 2020-07-01
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  5. 5
    Simulation-based power calculations for planning a two-stage individual participant data meta-analysis

    Simulation-based power calculations for planning a two-stage individual participant data meta-analysis oleh Joie Ensor, Danielle L. Burke, Kym I. E. Snell, Karla Hemming, Richard D. Riley

    Diterbitkan 2018-05-01
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  6. 6
    Community-based complex interventions to sustain independence in older people, stratified by frailty: a protocol for a systematic review and network meta-analysis

    Community-based complex interventions to sustain independence in older people, stratified by frailty: a protocol for a systematic review and network meta-analysis oleh Andrew Clegg, Thomas F Crocker, Richard D. Riley, Natalie Lam, Magda Jordão, Eleftheria Patetsini

    Diterbitkan 2021-02-01
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  7. 7
    Clinical prediction models and the multiverse of madness

    Clinical prediction models and the multiverse of madness oleh Richard D. Riley, Alexander Pate, Paula Dhiman, Lucinda Archer, Glen P. Martin, Gary S. Collins

    Diterbitkan 2023-12-01
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  8. 8
    Evidence synthesis in prognosis research

    Evidence synthesis in prognosis research oleh Thomas P.A. Debray, Valentijn M.T. de Jong, Karel G.M. Moons, Richard D. Riley

    Diterbitkan 2019-07-01
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  9. 9
    First-trimester ultrasound measurements and maternal serum biomarkers as prognostic factors in monochorionic twins: a cohort study

    First-trimester ultrasound measurements and maternal serum biomarkers as prognostic factors in monochorionic twins: a cohort study oleh Fiona L. Mackie, Rebecca Whittle, R. Katie Morris, Jon Hyett, Richard D. Riley, Mark D. Kilby

    Diterbitkan 2019-05-01
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  10. 10
    Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review

    Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review oleh Paula Dhiman, Jie Ma, Cathy Qi, Garrett Bullock, Jamie C Sergeant, Richard D Riley, Gary S Collins

    Diterbitkan 2023-08-01
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  11. 11
    Multivariate meta-analysis of multiple outcomes: characteristics and predictors of borrowing of strength from Cochrane reviews

    Multivariate meta-analysis of multiple outcomes: characteristics and predictors of borrowing of strength from Cochrane reviews oleh Miriam Hattle, Danielle L. Burke, Thomas Trikalinos, Christopher H. Schmid, Yong Chen, Dan Jackson, Richard D. Riley

    Diterbitkan 2022-07-01
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  12. 12
    Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trials

    Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trials oleh Janharpreet Singh, Sandro Gsteiger, Lorna Wheaton, Richard D. Riley, Keith R. Abrams, Clare L. Gillies, Sylwia Bujkiewicz

    Diterbitkan 2022-07-01
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  13. 13
    Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?

    Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems? oleh David A. Jenkins, Glen P. Martin, Matthew Sperrin, Richard D. Riley, Thomas P. A. Debray, Gary S. Collins, Niels Peek

    Diterbitkan 2021-01-01
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  14. 14
    Predictors of outcome in sciatica patients following an epidural steroid injection: the POiSE prospective observational cohort study protocol

    Predictors of outcome in sciatica patients following an epidural steroid injection: the POiSE prospective observational cohort study protocol oleh Richard D Riley, Nadine E Foster, Andrea Cherrington, Siobhan Stynes, Kym IE Snell, Kika Konstantinou, Noor Daud, Raymond Ostelo, John O'Dowd

    Diterbitkan 2023-11-01
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  15. 15
    Individual participant data (IPD) meta-analyses of diagnostic and prognostic modeling studies: guidance on their use.

    Individual participant data (IPD) meta-analyses of diagnostic and prognostic modeling studies: guidance on their use. oleh Thomas P A Debray, Richard D Riley, Maroeska M Rovers, Johannes B Reitsma, Karel G M Moons, Cochrane IPD Meta-analysis Methods group

    Diterbitkan 2015-10-01
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  16. 16
    Prediction of risk of recurrence of venous thromboembolism following treatment for a first unprovoked venous thromboembolism: systematic review, prognostic model and clinical decision rule, and economic evaluation

    Prediction of risk of recurrence of venous thromboembolism following treatment for a first unprovoked venous thromboembolism: systematic review, prognostic model and clinical decis... oleh Joie Ensor, Richard D Riley, Sue Jowett, Mark Monahan, Kym IE Snell, Susan Bayliss, David Moore, David Fitzmaurice, on behalf of the PIT-STOP collaborative group

    Diterbitkan 2016-02-01
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  17. 17
    Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

    Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intellig... oleh Gary S Collins, Richard D Riley, Lily Peng, Johannes B Reitsma, Ben Van Calster, Andrew L Beam, Constanza L Andaur Navarro, Karel GM Moons, Patricia Logullo

    Diterbitkan 2021-07-01
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  18. 18
    The prognostic utility of tests of platelet function for the detection of ‘aspirin resistance’ in patients with established cardiovascular or cerebrovascular disease: a systematic review and economic evaluation

    The prognostic utility of tests of platelet function for the detection of ‘aspirin resistance’ in patients with established cardiovascular or cerebrovascular disease: a systematic... oleh Janine Dretzke, Richard D Riley, Marie Lordkipanidzé, Susan Jowett, Jennifer O’Donnell, Joie Ensor, Eoin Moloney, Malcolm Price, Smriti Raichand, James Hodgkinson, Susan Bayliss, David Fitzmaurice, David Moore

    Diterbitkan 2015-05-01
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  19. 19
    The prognostic utility of tests of platelet function for the detection of ‘aspirin resistance’ in patients with established cardiovascular or cerebrovascular disease: a systematic review and economic evaluation

    The prognostic utility of tests of platelet function for the detection of ‘aspirin resistance’ in patients with established cardiovascular or cerebrovascular disease: a systematic... oleh Janine Dretzke, Richard D Riley, Marie Lordkipanidzé, Susan Jowett, Jennifer O’Donnell, Joie Ensor, Eoin Moloney, Malcolm Price, Smriti Raichand, James Hodgkinson, Susan Bayliss, David Fitzmaurice, David Moore

    Diterbitkan 2015-04-01
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  20. 20
    Persistent sex disparities in clinical outcomes with percutaneous coronary intervention: Insights from 6.6 million PCI procedures in the United States.

    Persistent sex disparities in clinical outcomes with percutaneous coronary intervention: Insights from 6.6 million PCI procedures in the United States. oleh Jessica Potts, Alex Sirker, Sara C Martinez, Martha Gulati, Mirvat Alasnag, Muhammad Rashid, Chun Shing Kwok, Joie Ensor, Danielle L Burke, Richard D Riley, Lene Holmvang, Mamas A Mamas

    Diterbitkan 2018-01-01
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