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Plos One|September 15, 2015
A Rescue Strategy for Handling Unevaluable Patients in Simon's Two Stage DesignLisa Belin, Philippe Broët, Yann De RyckeContemporary Clinical Trials Communications|April 27, 2018
A two-stage design for phase II trials with time-to-event endpoint using restricted follow-upLisa Belin, Yann De Rycke, Philippe BroëtStatistics in Medicine|July 23, 2013
A model combining excess and relative mortality for population-based studiesCaroline Elie, Paul Landais, Yann De RyckePhysics in Medicine and Biology|April 24, 2004
Methodology to predict a maximum follow-up period for breast cancer patients without significantly reducing the chance of detecting a local recurrenceRichard F Mould, Bernard Asselain, Yann De RyckeStatistics in Medicine|November 19, 2016
Estimation of conditional and marginal odds ratios using the prognostic scoreDavid Hajage, Yann De Rycke, Guillaume Chauvet, et al.Pharmacoepidemiology and Drug Safety|May 10, 2017
Evaluation of algorithms to identify incident cancer cases by using French health administrative databasesAya Ajrouche, Candice Estellat, Yann De Rycke, et al.British Journal of Cancer|March 28, 2020
Progression-free survival as a surrogate for overall survival in oncology trials: a methodological systematic reviewLisa Belin, Aidan Tan, Yann De Rycke, et al.Statistics in Medicine|March 25, 2011
Targeting population entering phase III trials: a new stratified adaptive phase II designCaroline Tournoux-Facon, Yann De Rycke, Pascale Tubert-BitterStatistics in Medicine|March 25, 2011
How a new stratified adaptive phase II design could improve targeting populationCaroline Tournoux-Facon, Yann De Rycke, Pascale Tubert-BitterLifetime Data Analysis|August 6, 2004
Two-sample statistics for testing the equality of survival functions against improper semi-parametric accelerated failure time alternatives: an application to the analysis of a breast cancer clinical trialPhilippe Broët, Alexander Tsodikov, Yann De Rycke, et al.Pageof 7