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There are 105874 results for: content related to: Surrogate endpoints in clinical trials: Definition and operational criteria

  1. Statistical evaluation of biomarkers as surrogate endpoints: a literature review

    Statistics in Medicine

    Volume 25, Issue 2, 30 January 2006, Pages: 183–203, Christopher J. Weir and Rosalind J. Walley

    Article first published online : 26 OCT 2005, DOI: 10.1002/sim.2319

  2. Evaluation of surrogate endpoints in randomized experiments with mixed discrete and continuous outcomes

    Statistics in Medicine

    Volume 20, Issue 20, 30 October 2001, Pages: 3023–3038, Geert Molenberghs, Helena Geys and Marc Buyse

    Article first published online : 3 OCT 2001, DOI: 10.1002/sim.923

  3. Estimating treatment difference for binary responses in the presence of surrogate endpoints

    Statistics in Medicine

    Volume 30, Issue 2, 30 January 2011, Pages: 186–196, Buddhananda Banerjee and Atanu Biswas

    Article first published online : 20 OCT 2010, DOI: 10.1002/sim.4089

  4. Meta-analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling

    Biometrics

    Volume 68, Issue 1, March 2012, Pages: 226–232, Debashis Ghosh, Jeremy M. G. Taylor and Daniel J. Sargent

    Article first published online : 13 JUN 2011, DOI: 10.1111/j.1541-0420.2011.01633.x

  5. Does the Prentice criterion validate surrogate endpoints?

    Statistics in Medicine

    Volume 23, Issue 10, 30 May 2004, Pages: 1571–1578, Vance W. Berger

    Article first published online : 27 APR 2004, DOI: 10.1002/sim.1780

  6. Discussion Contribution to 091037PR4 (Ghosh, Taylor, and Sargent)

    Biometrics

    Volume 68, Issue 1, March 2012, Pages: 233–235, Geert Molenberghs

    Article first published online : 13 JUN 2011, DOI: 10.1111/j.1541-0420.2011.01634.x

  7. A unifying approach for surrogate marker validation based on Prentice's criteria

    Statistics in Medicine

    Volume 25, Issue 2, 30 January 2006, Pages: 205–221, Ariel Alonso, Geert Molenberghs, Helena Geys, Marc Buyse and Tony Vangeneugden

    Article first published online : 11 OCT 2005, DOI: 10.1002/sim.2315

  8. Surrogate and auxiliary endpoints in clinical trials, with potential applications in cancer and aids research

    Statistics in Medicine

    Volume 13, Issue 9, 15 May 1994, Pages: 955–968, Thomas R. Fleming, Ross L. Prentice, Margaret S. Pepe and David Glidden

    Article first published online : 15 OCT 2006, DOI: 10.1002/sim.4780130906

  9. Sharp bounds on causal effects using a surrogate endpoint

    Statistics in Medicine

    Volume 32, Issue 25, 10 November 2013, Pages: 4338–4347, Manabu Kuroki

    Article first published online : 11 JUN 2013, DOI: 10.1002/sim.5873

  10. Discussions

    Biometrics

    Volume 68, Issue 1, March 2012, Pages: 239–241, Vance W. Berger, Grant Izmirlian and Diana Knoll

    Article first published online : 22 JUN 2011, DOI: 10.1111/j.1541-0420.2011.01636.x

  11. Surrogate endpoints in clinical trials: Cardiovascular diseases

    Statistics in Medicine

    Volume 8, Issue 4, April 1989, Pages: 415–425, Janet Wittes, Edward Lakatos and Jeffrey Probstfield

    Article first published online : 12 OCT 2006, DOI: 10.1002/sim.4780080405

  12. Discussion by O'Quigley and Flandre

    Biometrics

    Volume 68, Issue 1, March 2012, Pages: 242–244, John O'Quigley and Philippe Flandre

    Article first published online : 13 JUN 2011, DOI: 10.1111/j.1541-0420.2011.01637.x

  13. Rejoinder for “Meta-analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling”

    Biometrics

    Volume 68, Issue 1, March 2012, Pages: 245–247, Debashis Ghosh, Jeremy M. G. Taylor and Daniel J. Sargent

    Article first published online : 13 JUN 2011, DOI: 10.1111/j.1541-0420.2011.01638.x

  14. Discussion of the Paper of Ghosh, Taylor, and Sargent

    Biometrics

    Volume 68, Issue 1, March 2012, Pages: 236–238, Edward L. Korn

    Article first published online : 13 JUN 2011, DOI: 10.1111/j.1541-0420.2011.01635.x

  15. On the relationship between the causal-inference and meta-analytic paradigms for the validation of surrogate endpoints

    Biometrics

    Ariel Alonso, Wim Van der Elst, Geert Molenberghs, Marc Buyse and Tomasz Burzykowski

    Article first published online : 1 OCT 2014, DOI: 10.1111/biom.12245

  16. Predicting Treatment Effect from Surrogate Endpoints and Historical Trials: An Extrapolation Involving Probabilities of a Binary Outcome or Survival to a Specific Time

    Biometrics

    Volume 68, Issue 1, March 2012, Pages: 248–257, Stuart G. Baker, Daniel J. Sargent, Marc Buyse and Tomasz Burzykowski

    Article first published online : 13 AUG 2011, DOI: 10.1111/j.1541-0420.2011.01646.x

  17. An entropy-based nonparametric test for the validation of surrogate endpoints

    Statistics in Medicine

    Volume 31, Issue 14, 30 June 2012, Pages: 1517–1530, Xiaopeng Miao, Yong-Cheng Wang and Ashis Gangopadhyay

    Article first published online : 17 FEB 2012, DOI: 10.1002/sim.4500

  18. Bayesian adjusted R2 for the meta-analytic evaluation of surrogate time-to-event endpoints in clinical trials

    Statistics in Medicine

    Volume 31, Issue 8, 13 April 2012, Pages: 743–761, Lindsay A. Renfro, Qian Shi, Daniel J. Sargent and Bradley P. Carlin

    Article first published online : 9 DEC 2011, DOI: 10.1002/sim.4416

  19. Surrogate endpoints in clinical trials: Cancer

    Statistics in Medicine

    Volume 8, Issue 4, April 1989, Pages: 405–413, Susan S. Ellenberg and J. Michael Hamilton

    Article first published online : 12 OCT 2006, DOI: 10.1002/sim.4780080404

  20. Missing data methods for the assessment of surrogate outcomes and treatment mechanisms in clinical trial substudies

    Statistics in Medicine

    Volume 25, Issue 3, 15 February 2006, Pages: 415–431, Sally Galbraith, Ian C. Marschner and John Simes

    Article first published online : 11 OCT 2005, DOI: 10.1002/sim.2203