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Clinical Trials (London, England)|August 10, 2011
Using the continual reassessment method to estimate the minimum effective dose in phase II dose-finding studies: a case studySarah Zohar, Matthieu Resche-Rigon, Sylvie ChevretClinical Trials (London, England)|November 26, 2008
Adaptive designs for dose-finding in non-cancer phase II trials: influence of early unexpected outcomesMatthieu Resche-Rigon, Sarah Zohar, Sylvie ChevretStatistics in Medicine|September 15, 2005
Local influence for the subdistribution of a competing riskMatthieu Resche-Rigon, Sylvie ChevretCritical Care (London, England)|December 17, 2005
Evaluating mortality in intensive care units: contribution of competing risks analysesMatthieu Resche-Rigon, Elie Azoulay, Sylvie ChevretStatistics in Medicine|October 9, 2014
Assessing assay agreement estimation for multiple left-censored data: a multiple imputation approachNathanael Lapidus, Sylvie Chevret, Matthieu Resche-RigonBMC Medical Research Methodology|June 1, 2012
Evaluation of the propensity score methods for estimating marginal odds ratios in case of small sample sizeRomain Pirracchio, Matthieu Resche-Rigon, Sylvie ChevretStatistics in Medicine|September 9, 2006
Analysing multicentre competing risks data with a mixed proportional hazards model for the subdistributionSandrine Katsahian, Matthieu Resche-Rigon, Sylvie Chevret, et al.Annals of Intensive Care|September 6, 2013
Do simple screening statistical tools help to detect reporting bias?Romain Pirracchio, Matthieu Resche-Rigon, Sylvie Chevret, et al.Journal of Clinical Epidemiology|June 8, 2015
A new weighted balance measure helped to select the variables to be included in a propensity score modelEmmanuel Caruana, Sylvie Chevret, Matthieu Resche-Rigon, et al.Statistics in Medicine|February 20, 2016
A multiple imputation approach for MNAR mechanisms compatible with Heckman's modelJacques-Emmanuel Galimard, Sylvie Chevret, Camelia Protopopescu, et al.Pageof 66