Asymmetrical Dimethylarginine Predicts Progression to Dialysis and Death in Patients with Chronic Kidney Disease: A Competing Risks Modeling Approach, Journal of the American Society of Nephrology, vol.16, issue.8, pp.2449-55, 2005. ,
DOI : 10.1681/ASN.2005010076
Alain Duhamel) Alain Duhamel); Nephrology Department, Nephrology Department, vol.4003 ,
Data report 2010Available at:http://www.renalreg.com/Report-Area ,
Peritoneal dialysis in elderly patients: report from the French Peritoneal Dialysis Registry (RDPLF), Nephrology Dialysis Transplantation, vol.25, issue.1 ,
DOI : 10.1093/ndt/gfp375
Good patient and technique survival in elderly patients on continuous ambulatory peritoneal dialysis.Perit Dial Int, pp.196-201, 2007. ,
French peritoneal dialysis registry (RDPLF): Outline and main results, Kidney International, vol.70, issue.103, pp.12-20, 2006. ,
DOI : 10.1038/sj.ki.5001911
Assisted peritoneal dialysis as a method of choice for elderly with end-stage renal disease, International Urology and Nephrology, vol.16, issue.3, pp.1143-50, 2008. ,
DOI : 10.1007/s11255-008-9427-7
An evaluation of an integrative care approach for end-stage renal disease patients, J Am Soc Nephrol, vol.11, issue.1, pp.116-141, 2000. ,
Timing, causes, predictors and prognosis of switching from peritoneal dialysis to hemodialysis: a prospective study, BMC Nephrology, vol.59, issue.1, p.3, 2009. ,
DOI : 10.1046/j.1523-1755.2001.00748.x
Tutorial in biostatistics: competing risks and multi-state models, Statistics in Medicine, vol.6, issue.11, pp.2389-430, 2007. ,
DOI : 10.1002/sim.2712
The statistical analysis of failure time data ,
DOI : 10.1002/9781118032985
Charlson Comorbidity Index as a Predictor of Outcomes in Incident Peritoneal Dialysis Patients, American Journal of Kidney Diseases, vol.37, issue.2, pp.337-379, 2001. ,
DOI : 10.1053/ajkd.2001.21300
A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation, Journal of Chronic Diseases, vol.40, issue.5, pp.373-83, 1987. ,
DOI : 10.1016/0021-9681(87)90171-8
A simple comorbidity scale predicts clinical outcomes and costs in dialysis patients, The American Journal of Medicine, vol.108, issue.8, pp.609-622, 2000. ,
DOI : 10.1016/S0002-9343(00)00371-5
The effects of comorbid conditions on the outcomes of patients undergoing peritoneal dialysis, The American Journal of Medicine, vol.112, issue.9, pp.696-701, 2002. ,
DOI : 10.1016/S0002-9343(02)01097-5
A Proportional Hazards Model for the Subdistribution of a Competing Risk, Journal of the American Statistical Association, vol.69, issue.446, pp.496-509, 1999. ,
DOI : 10.2307/2530374
Comorbidity, urea kinetics, and appetite in continuous ambulatory peritoneal dialysis patients: Their interrelationship and prediction of survival, American Journal of Kidney Diseases, vol.26, issue.2, pp.353-61, 1995. ,
DOI : 10.1016/0272-6386(95)90657-6
How strong are patients' preferences in choices between dialysis modalities and doses?Am J Kidney Dis, pp.695-705, 2004. ,
Death after withdrawal from dialysis: the most common cause of death in a French dialysis population, Nephrology Dialysis Transplantation, vol.19, issue.3, pp.686-91, 2004. ,
DOI : 10.1093/ndt/gfg606
From curing to caring: one character change makes a world of difference. Issues related to withholding/withdrawing renal replacement therapy (RRT) from patients with important co-morbidities, Nephrology Dialysis Transplantation, vol.19, issue.3, pp.536-576, 2004. ,
DOI : 10.1093/ndt/gfg539
Withholding or withdrawing dialysis in the elderly: the perspective of a western region of France, Nephrology Dialysis Transplantation, vol.20, issue.11, pp.2446-52, 2005. ,
DOI : 10.1093/ndt/gfi012
Charlson Comorbidity Index as a Predictor of Outcomes in Incident Peritoneal Dialysis Patients, American Journal of Kidney Diseases, vol.37, issue.2 ,
DOI : 10.1053/ajkd.2001.21300
Registre REIN -Rapport Annuel, 2010. ,
Improving estimates of event incidence over time in populations exposed to other events, Journal of Clinical Epidemiology, vol.56, issue.6, pp.536-545, 2003. ,
DOI : 10.1016/S0895-4356(03)00058-1
A regression model for the conditional probability of a competing event: application to monoclonal gammopathy of unknown significance, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.14, issue.1, pp.135-142, 2011. ,
DOI : 10.1111/j.1467-9876.2010.00729.x
Empirical Transition Matrix of Multi-State Models: The etm Package, Journal of Statistical Software, vol.38, 2011. ,
Understanding competing risks: a simulation point of view, BMC Medical Research Methodology, vol.25, issue.15, pp.86-96, 2011. ,
DOI : 10.1002/sim.2517
Medical and non-medical determinants of access to renal transplant waiting list in a French community-based network of care, Nephrology Dialysis Transplantation, vol.21, issue.10, pp.2900-2907, 2006. ,
DOI : 10.1093/ndt/gfl329
Survival of transplanted and dialysed patients in a French region with focus on outcomes in the elderly, Nephrology Dialysis Transplantation, vol.25, issue.1, pp.292-300, 2010. ,
DOI : 10.1093/ndt/gfp469
URL : https://hal.archives-ouvertes.fr/hal-00748834
Co??t de??la??prise en??charge de??la??dialyse en??France, N??phrologie & Th??rapeutique, vol.3, issue.3, pp.96-106, 2007. ,
DOI : 10.1016/j.nephro.2007.03.001
A competing risks analysis of bloodstream infection after stem-cell transplantation using subdistribution hazards and cause-specific hazards, Statistics in Medicine, vol.57, issue.30, pp.5360-5369, 2007. ,
DOI : 10.1002/sim.3006
Simulating competing risks data in survival analysis, Statistics in Medicine, vol.25, issue.3, pp.956-971, 2009. ,
DOI : 10.1002/sim.3092
An evaluation of an integrative care approach for end-stage renal disease patients, J. Am. Soc. Nephrol, vol.11, pp.116-125, 2000. ,
Comparison of survival on CAPD and haemodialysis: statistical pitfalls, Nephrology Dialysis Transplantation, vol.15, issue.3, pp.307-311, 2000. ,
DOI : 10.1093/ndt/15.3.307
Co??t de la prise en charge de l???IRCT en France en 2007??et impact potentiel d???une augmentation du recours ?? la dialyse p??riton??ale et ?? la greffe, N??phrologie & Th??rapeutique, vol.6, issue.4, pp.240-247, 2010. ,
DOI : 10.1016/j.nephro.2010.04.005
Regional discrepancies in peritoneal dialysis utilization in France: the role of the nephrologist's opinion about peritoneal dialysis, Nephrology Dialysis Transplantation, vol.24, issue.4, pp.1293-1297, 2009. ,
DOI : 10.1093/ndt/gfn648
Is Maximum Conservative Management an Equivalent Treatment Option to Dialysis for Elderly Patients with Significant Comorbid Disease?, Clinical Journal of the American Society of Nephrology, vol.4, issue.10, pp.1611-1619, 2009. ,
DOI : 10.2215/CJN.00510109
Survival on Peritoneal Dialysis (PD) Versus Hemodialysis (HD), 2012. ,
Variability in case mix and peritoneal dialysis selection in fifty-nine French districts, Perit Dial Int, vol.28, pp.509-517, 2008. ,
Estimating net survival: the importance of allowing for informative censoring, Statistics in Medicine, vol.49, issue.3, pp.775-786, 2012. ,
DOI : 10.1002/sim.4464
Peritonitis-free survival in peritoneal dialysis: an update taking competing risks into account, Nephrology Dialysis Transplantation, vol.25, issue.7, pp.2315-2322, 2008. ,
DOI : 10.1093/ndt/gfq003
Competing approaches to analysis of failure times with competing risks, Statistics in Medicine, vol.58, issue.23, pp.3601-3610, 2001. ,
DOI : 10.1002/sim.1135
A Proportional Hazards Model for the Subdistribution of a Competing Risk, Journal of the American Statistical Association, vol.69, issue.446, pp.496-509, 1999. ,
DOI : 10.2307/2530374
PRACTICE VARIATIONS IN THE EVALUATION OF ADULT CANDIDATES FOR CADAVERIC KIDNEY TRANSPLANTATION, Transplantation, vol.70, issue.10, pp.1492-1497, 2000. ,
DOI : 10.1097/00007890-200011270-00017
The Impact of Comorbid and Sociodemographic Factors on Access to Renal Transplantation, JAMA: The Journal of the American Medical Association, vol.269, issue.5, pp.603-608, 1993. ,
DOI : 10.1001/jama.1993.03500050081030
Chapter 1: UK RRT Incidence in 2009: National and Centre-Specific Analyses, Nephron Clinical Practice, vol.119, issue.s2, pp.1-25, 2010. ,
DOI : 10.1159/000331741
Chronic Kidney Disease and the Risks of Death, Cardiovascular Events, and Hospitalization, New England Journal of Medicine, vol.351, issue.13, pp.1296-1305, 2004. ,
DOI : 10.1056/NEJMoa041031
Estimation of failure probabilities in the presence of competing risks: new representations of old estimators, Statistics in Medicine, vol.1, issue.6, pp.695-706, 1999. ,
DOI : 10.1002/(SICI)1097-0258(19990330)18:6<695::AID-SIM60>3.0.CO;2-O
Influence of a Pre-Dialysis Education Programme (PDEP) on the mode of renal replacement therapy, Nephrology Dialysis Transplantation, vol.20, issue.9, pp.1842-1847, 2005. ,
DOI : 10.1093/ndt/gfh905
The Achilles Heel of Mortality Risk by Dialysis Modality is Selection Bias, Journal of the American Society of Nephrology, vol.22, issue.8, pp.1398-1400, 2011. ,
DOI : 10.1681/ASN.2011060597
Timing, causes, predictors and prognosis of switching from peritoneal dialysis to hemodialysis: a prospective study, BMC Nephrology, vol.59, issue.1, pp.3-10, 2009. ,
DOI : 10.1046/j.1523-1755.2001.00748.x
The effect of contraindications and patient preference on dialysis modality selection in ESRD patients in The Netherlands, American Journal of Kidney Diseases, vol.43, issue.5, pp.891-899, 2004. ,
DOI : 10.1053/j.ajkd.2003.12.051
The statistical analysis of failure time data, 2002. ,
DOI : 10.1002/9781118032985
Cumulative Incidence in Competing Risks Data and Competing Risks Regression Analysis, Clinical Cancer Research, vol.13, issue.2, pp.559-565, 2007. ,
DOI : 10.1158/1078-0432.CCR-06-1210
Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part 2: Regression modeling, Bone Marrow Transplantation, vol.28, issue.11, pp.1001-1011, 2001. ,
DOI : 10.1038/sj.bmt.1703271
Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part I: Unadjusted analysis, Bone Marrow Transplantation, vol.28, issue.10, pp.909-915, 2001. ,
DOI : 10.1038/sj.bmt.1703260
Canadian Society of Transplantation: consensus guidelines on eligibility for kidney transplantation, Canadian Medical Association Journal, vol.173, issue.10, pp.1-25, 2005. ,
DOI : 10.1503/cmaj.1041588
Effect of starting with hemodialysis compared with peritoneal dialysis in patients new on dialysis treatment: A randomized controlled trial, Kidney International, vol.64, issue.6, pp.2222-2228, 2003. ,
DOI : 10.1046/j.1523-1755.2003.00321.x
Functional Status of Elderly Adults before and after Initiation of Dialysis, New England Journal of Medicine, vol.361, issue.16, pp.1539-1547, 2009. ,
DOI : 10.1056/NEJMoa0904655
Comments on ???Analysing and interpreting competing risk data??? by M. Pintilie,Statistics in Medicine 2006. DOI: 10.1002/sim.2655, Statistics in Medicine, vol.34, issue.19, pp.3676-3679, 2007. ,
DOI : 10.1002/sim.2823
Misspecified regression model for the subdistribution hazard of a competing risk, Statistics in Medicine, vol.25, issue.5, pp.965-974, 2007. ,
DOI : 10.1002/sim.2600
URL : https://hal.archives-ouvertes.fr/inserm-00107416
Competing Risk Regression Models for Epidemiologic Data, American Journal of Epidemiology, vol.170, issue.2, 2009. ,
DOI : 10.1093/aje/kwp107
Les ??tats g??n??raux du rein??: une occasion unique pour la n??phrologie fran??aise, N??phrologie & Th??rapeutique, vol.8, issue.4, pp.197-198, 2012. ,
DOI : 10.1016/j.nephro.2012.05.003
Applying Cox Regression to Competing Risks, Biometrics, vol.51, issue.2, pp.524-532, 1995. ,
DOI : 10.2307/2532940
Analysing Survival Data from Clinical Trials and Observational Studies, 2004. ,
Relationship between Dialysis Modality and Mortality, Journal of the American Society of Nephrology, vol.20, issue.1, pp.155-163, 2009. ,
DOI : 10.1681/ASN.2007111188
Patient education and access of ESRD patients to renal replacement therapies beyond in-center hemodialysis, Kidney International, vol.68, issue.1, pp.378-390, 2005. ,
DOI : 10.1111/j.1523-1755.2005.00453.x
tdc.msm: An R library for the analysis of multi-state survival data, Computer Methods and Programs in Biomedicine, vol.86, issue.2, pp.131-140, 2007. ,
DOI : 10.1016/j.cmpb.2007.01.010
A prospective evaluation of renal replacement therapy modality eligibility, Nephrology Dialysis Transplantation, vol.24, issue.2, pp.555-561, 2009. ,
DOI : 10.1093/ndt/gfn484
Deceased-Donor Characteristics and the Survival Benefit of Kidney Transplantation, JAMA, vol.294, issue.21, pp.2726-2733, 2005. ,
DOI : 10.1001/jama.294.21.2726
Why are reported relative mortality risks for CAPD and HD so variable? (inadequacies of the Cox proportional hazards model), Perit Dial Int, vol.16, pp.15-18, 1996. ,
Comparative Mortality Risks of Chronic Dialysis and Cadaveric Transplantation in Black End-Stage Renal Disease Patients, American Journal of Kidney Diseases, vol.24, issue.1, pp.59-64, 1994. ,
DOI : 10.1016/S0272-6386(12)80160-0
Impact of Cadaveric Renal Transplantation on Survival in Patients Listed for Transplantation, Journal of the American Society of Nephrology, vol.16, issue.6, pp.1859-1865, 2005. ,
DOI : 10.1681/ASN.2004121092
Equity of access to renal transplant waiting list and renal transplantation in Scotland: cohort study, BMJ, vol.327, issue.7426, p.1261, 2003. ,
DOI : 10.1136/bmj.327.7426.1261
Kaplan???meier, marginal or conditional probability curves in summarizing competing risks failure time data?, Statistics in Medicine, vol.34, issue.8, pp.737-751, 1993. ,
DOI : 10.1002/sim.4780120803
Quelles explorations faut-il r??aliser avant l???inscription sur une liste de transplantation r??nale ?, N??phrologie & Th??rapeutique, vol.5, issue.09, pp.301-308, 2009. ,
DOI : 10.1016/S1769-7255(09)74564-X
Analysing and interpreting competing risk data, Statistics in Medicine, vol.9, issue.6, pp.1360-1367, 2007. ,
DOI : 10.1002/sim.2655
Tutorial in biostatistics: competing risks and multi-state models, Statistics in Medicine, vol.6, issue.11, pp.2389-2430, 2007. ,
DOI : 10.1002/sim.2712
Selection Bias Explains Apparent Differential Mortality between Dialysis Modalities, Journal of the American Society of Nephrology, vol.22, issue.8, pp.1534-1542, 2011. ,
DOI : 10.1681/ASN.2010121232
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3148708
Comparison of mortality risk for dialysis patients and cadaveric first renal transplant recipients in Ontario, Canada, J Am Soc Nephrol, vol.11, pp.917-922, 2000. ,
Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log-Rank Tests, Biometrics, vol.123, issue.3, pp.779-788, 2000. ,
DOI : 10.1111/j.0006-341X.2000.00779.x
A note on competing risks in survival data analysis, British Journal of Cancer, vol.20, issue.7, pp.1229-1235, 2004. ,
DOI : 10.1038/sj.bjc.6602102
Kidney transplantation and wait-listing rates from the international Dialysis Outcomes and Practice Patterns Study (DOPPS), Kidney International, vol.68, issue.1, pp.330-337, 2005. ,
DOI : 10.1111/j.1523-1755.2005.00412.x
ANALYSIS OF THE RENAL TRANSPLANT WAITING LIST, Transplantation, vol.66, issue.9, pp.1146-1153, 1998. ,
DOI : 10.1097/00007890-199811150-00006
methods yielded misleading results in competing risk scenarios, J Clin Epidemiol, vol.59, pp.1110-1114 ,
Patient death as a censoring event or competing risk event in models of nursing home placement, Statistics in Medicine, vol.27, issue.4, pp.371-381, 2010. ,
DOI : 10.1002/sim.3797
Modeling Survival Data: Extending the Cox Model, 2001. ,
DOI : 10.1007/978-1-4757-3294-8
Apport des méthodes récentes de modélisation de survie dans le contexte spécifique des patients dialysés ([s.l.]: [s, 2007. ,
The differential impact of risk factors on mortality in hemodialysis and peritoneal dialysis, Kidney International, vol.66, issue.6, pp.2389-2401, 2004. ,
DOI : 10.1111/j.1523-1755.2004.66028.x
Mortality studies comparing peritoneal dialysis and hemodialysis: What do they tell us?, Kidney International, vol.70, 2006. ,
DOI : 10.1038/sj.ki.5001910
Comments on ???Analysing and interpreting competing risk data??? (original article and author's reply) by Melania Pintilie, Statistics in Medicine 2007; 26:1360-1367; DOI: 10.1002/sim.2655 (original article) and Statistics in Medicine 2007; DOI: 10.1002/sim.2, Statistics in Medicine, vol.72, issue.18, pp.3521-3523, 2007. ,
DOI : 10.1002/sim.2904
Differences in access to cadaveric renal transplantation in the United States, American Journal of Kidney Diseases, vol.36, issue.5, pp.1025-1033, 2000. ,
DOI : 10.1053/ajkd.2000.19106
Comparison of Mortality in All Patients on Dialysis, Patients on Dialysis Awaiting Transplantation, and Recipients of a First Cadaveric Transplant, New England Journal of Medicine, vol.341, issue.23, pp.1725-1730, 1999. ,
DOI : 10.1056/NEJM199912023412303
Comparative Survival and Economic Benefits of Deceased Donor Kidney Transplantation and Dialysis in People with Varying Ages and Co-Morbidities, PLoS ONE, vol.89, issue.1, 2012. ,
DOI : 10.1371/journal.pone.0029591.s002
Package for the Analysis of Competing Risks and Multi-State Models, Journal of Statistical Software, vol.38, issue.7, pp.1-30, 2011. ,
DOI : 10.18637/jss.v038.i07
Changes in Quality of Life during Hemodialysis and Peritoneal Dialysis Treatment: Generic and Disease Specific Measures, Journal of the American Society of Nephrology, vol.15, issue.3, pp.743-753, 2004. ,
DOI : 10.1097/01.ASN.0000113315.81448.CA
Hemodialysis and peritoneal dialysis are associated with similar outcomes for end-stage renal disease treatment in Canada. Nephrology, Dialysis, Transplantation: Official Publication of the European Dialysis and Transplant Association -European Renal Association doi, pp.10-1093, 2012. ,