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Statistics in Medicine|September 15, 2005
Local influence for the subdistribution of a competing riskMatthieu Resche-Rigon, Sylvie Chevret
Statistical Methods in Medical Research|September 21, 2016
Multiple imputation by chained equations for systematically and sporadically missing multilevel dataMatthieu Resche-Rigon, Ian R White
BMC 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 Chevret
Critical Care (London, England)|December 17, 2005
Evaluating mortality in intensive care units: contribution of competing risks analysesMatthieu Resche-Rigon, Elie Azoulay, Sylvie Chevret
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 Chevret
Statistics in Medicine|October 9, 2014
Assessing assay agreement estimation for multiple left-censored data: a multiple imputation approachNathanael Lapidus, Sylvie Chevret, Matthieu Resche-Rigon
Clinical 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 Chevret
Clinical Neurology and Neurosurgery|October 1, 2020
Neurofibromatosis type 2: A nationwide population-based study focused on survival after meningioma surgeryCharles Champeaux-Depond, Joconde Weller, Matthieu Resche-Rigon
Statistics 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.
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