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Journal of Biopharmaceutical Statistics Volume 26, 2016 - Issue 5
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Articles

Statistical approaches for evaluating surrogate outcomes in clinical trials: A systematic review

Hannah EnsorCentre for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, UKCorrespondence[email protected]
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,
Robert J. LeeCentre for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, UKView further author information
,
Cathie SudlowCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UKView further author information
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Christopher J. WeirCentre for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, UK;Edinburgh Health Services Research Unit, University of Edinburgh, Western General Hospital, Edinburgh, UKView further author information
Pages 859-879 | Received 10 Feb 2015, Accepted 04 Sep 2015, Published online: 26 Feb 2016

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Read on this site (3)

Nicholas Larsen, Jonathan Stallrich, Srijan Sengupta, Alex Deng, Ron Kohavi & Nathaniel T. Stevens. (2023) Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology. The American Statistician 0:0, pages 1-15.
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Hannah Ensor & Christopher J. Weir. (2020) Evaluation of surrogacy in the multi-trial setting based on information theory: an extension to ordinal outcomes. Journal of Biopharmaceutical Statistics 30:2, pages 364-376.
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Stephen A. Goutman, Morton B. Brown, Merit Cudkowicz, Nazem Atassi & Eva L. Feldman. (2019) ALS/SURV: a modification of the CAFS statistic. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 20:7-8, pages 576-583.
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Articles from other publishers (8)

Oriana Ciani, Anthony Muchai Manyara & Rod S Taylor. (2022) Surrogate end points in cardio-thoracic trials: a call for better reporting and improved interpretation of trial findings. European Journal of Cardio-Thoracic Surgery 62:4.
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Christopher J. Weir & Rod S. Taylor. (2022) Informed decision‐making: Statistical methodology for surrogacy evaluation and its role in licensing and reimbursement assessments. Pharmaceutical Statistics 21:4, pages 740-756.
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Hannah Ensor & Christopher J. Weir. (2021) Separation and the information theory surrogate evaluation approach: A penalised likelihood solution. Pharmaceutical Statistics 21:1, pages 55-68.
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Alonso Carrasco‐Labra, Malavika Tampi, Olivia Urquhart, Scott Howell, Austin Booth & Michael Glick. 2021. Burket's Oral Medicine. Burket's Oral Medicine 1059 1079 .
Natalie Dimier & Susan Todd. (2020) Assessment of the information theory approach to evaluating time‐to‐event surrogate and true endpoints in a meta‐analytic setting . Pharmaceutical Statistics 20:2, pages 335-347.
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Dale A. Barnhart, Katherine E. A. Semrau, Corwin M. Zigler, Rose L. Molina, Megan Marx Delaney, Lisa R. Hirschhorn & Donna Spiegelman. (2020) Optimizing the development and evaluation of complex interventions: lessons learned from the BetterBirth Program and associated trial. Implementation Science Communications 1:1.
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Anna Conlon, Jeremy TaylorYun Li, Karla Diaz-OrdazMichael Elliott. (2017) Links between causal effects and causal association for surrogacy evaluation in a gaussian setting. Statistics in Medicine 36:27, pages 4243-4265.
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Natalie Dimier & Susan Todd. (2017) An investigation into the two-stage meta-analytic copula modelling approach for evaluating time-to-event surrogate endpoints which comprise of one or more events of interest. Pharmaceutical Statistics 16:5, pages 322-333.
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