G. C. Alexander and A. R. Sehgal, Barriers to cadaveric renal transplantation among blacks, women, and the poor, JAMA, vol.280, pp.1148-52, 1998.

R. A. Wolfe, V. B. Ashby, E. L. Milford, W. E. Bloembergen, L. Y. Agodoa et al., Differences in access to cadaveric renal transplantation in the United States, Am J Kidney Dis, vol.36, pp.1025-1058, 2000.

P. P. Garg, K. D. Frick, M. Diener-west, and N. R. Powe, Effect of the ownership of dialysis facilities on patients' survival and referral for transplantation, N Engl J Med, vol.341, pp.1653-60, 1999.

P. P. Garg, S. L. Furth, B. A. Fivush, and N. R. Powe, Impact of gender on access to the renal transplant waiting list for pediatric and adult patients, J Am Soc Nephrol, vol.11, pp.958-64, 2000.

D. S. Gaylin, P. J. Held, F. K. Port, L. G. Hunsicker, R. A. Wolfe et al., The impact of comorbid and sociodemographic factors on access to renal transplantation, JAMA, vol.269, pp.603-611, 1993.

D. L. Segev, C. E. Simpkins, R. E. Thompson, J. E. Locke, D. S. Warren et al., Obesity impacts access to kidney transplantation, J Am Soc Nephrol, vol.19, pp.349-55, 2008.

G. C. Oniscu, A. A. Schalkwijk, R. J. Johnson, H. Brown, and J. L. Forsythe, Equity of access to renal transplant waiting list and renal transplantation in Scotland: cohort study, BMJ, vol.327, pp.1261-70, 2003.

S. Bayat, L. Frimat, N. Thilly, C. Loos, S. Briançon et al., Medical and non-medical determinants of access to renal transplant waiting list in a French community-based network of care, Nephrol Dial Transplant, vol.21, pp.2900-2907, 2006.

V. S. Stel, P. C. Van-dijk, J. G. Van-manen, F. W. Dekker, A. D. Conte et al., Prevalence of co-morbidity in different European RRT populations and its effect on access to renal transplantation, Nephrol Dial Transplant, vol.20, pp.2803-2814, 2005.

S. Satayathum, R. L. Pisoni, K. P. Mccullough, R. M. Merion, B. Wikström et al., Kidney transplantation and waitlisting rates from the international Dialysis Outcomes and Practice Patterns Study (DOPPS), Kidney Int, vol.68, pp.330-337, 2005.

J. B. Beuscart, D. Pagniez, E. Boulanger, L. De-sainte, C. Foy et al., Overestimation of the probability of death on peritoneal dialysis by the Kaplan-Meier method: advantages of a competing risks approach, BMC Nephrol, vol.13, p.31, 2012.
URL : https://hal.archives-ouvertes.fr/inserm-00752683

S. M. Cockfield, R. B. Moore, G. Todd, K. Solez, and S. Gourishankar, The prognostic utility of deceased donor implantation biopsy in determining function and graft survival after kidney transplantation, Transplantation, vol.89, pp.559-66, 2010.

J. Gralla and A. C. Wiseman, Tacrolimus/sirolimus versus tacrolimus/ mycophenolate in kidney transplantation: improved 3-year graft and patient survival in recent era, Transplantation, vol.87, pp.1712-1721, 2009.

S. V. Fuggle, J. E. Allen, R. J. Johnson, D. Collett, P. D. Mason et al., Factors affecting graft and patient survival after live donor kidney transplantation in the UK, Transplantation, vol.89, pp.694-701, 2010.

J. Beyersmann, M. Wolkewitz, A. Allignol, N. Grambauer, and M. Schumacher, Application of multistate models in hospital epidemiology: advances and challenges, Biom J, vol.53, pp.332-50, 2011.

M. Schumacher, M. Wangler, M. Wolkewitz, and J. Beyersmann, Attributable mortality due to nosocomial infections. A simple and useful application of multistate models, Methods Inf Med, vol.46, pp.595-600, 2007.

C. Couchoud, B. Stengel, P. Landais, J. C. Aldigier, F. De-cornelissen et al., The renal epidemiology and information network (REIN): a new registry for end-stage renal disease in France, Nephrol Dial Transplant, vol.21, pp.411-419, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00452918

H. Putter, M. Fiocco, and R. B. Geskus, Tutorial in biostatistics: competing risks and multi-state models, Stat Med, vol.26, pp.2389-430, 2007.

L. C. De-wreede, M. Fiocco, and H. Putter, The mstate package for estimation and prediction in non-and semi-parametric multistate and competing risks models, Comput Methods Programs Biomed, vol.99, pp.261-74, 2010.

S. J. Pocock, T. C. Clayton, and D. G. Altman, Survival plots of time-toevent outcomes in clinical trials: good practice and pitfalls, Lancet, vol.359, pp.1686-1695, 2002.

L. C. De-wreede, M. Fiocco, and H. Putter, mstate: an R package for the analysis of competing risks and multi-state models, J Stat Softw, vol.38, pp.1-30, 2011.

S. Van-buuren and K. Groothuis-oudshoorn, MICE: Multivariate Imputation by Chained Equations in R, J Stat Softw, vol.45, pp.1-67, 2011.

A. Marshall, D. G. Altman, and R. L. Holder, Comparison of imputation methods for handling missing covariate data when fitting a Cox proportional hazards model: a resampling study, BMC Med Res Methodol, vol.10, p.112, 2010.

A. M. Wood, I. R. White, and P. Royston, How should variable selection be performed with multiply imputed data, Stat Med, vol.27, pp.3227-3273, 2008.

D. B. Rubin, Multiple imputation after 18+ years, J Am Stat Assoc, vol.91, pp.473-89, 1996.

T. M. Therneau, P. M. Grambsch, and T. R. Flemming, Martingale-based residuals for survival models, Biometrika, vol.77, pp.147-60, 1990.

, R: A language and environment for statistical computing, R Foundation for Statistical Computing. R Development Core Team, 2010.

G. Knoll, S. Cockfield, T. Blydt-hansen, D. Baran, B. Kiberd et al., Canadian Society of Transplantation: consensus guidelines on eligibility for kidney transplantation, CMAJ, vol.173, pp.1-25, 2005.

. Ebpg, European Expert Group on Renal Transplantation

, European Renal Association (ERA-EDTA

, European Best Practice Guidelines for Renal Transplantation (part 1), Nephrol Dial Transplant, vol.15, pp.1-85, 2000.

J. Beyersmann, P. Gastmeier, M. Wolkewitz, and M. Schumacher, An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation, J Clin Epidemiol, vol.61, pp.1216-1237, 2008.

S. Suissa, Immortal time bias in pharmaco-epidemiology, Am J Epidemiol, vol.167, pp.492-501, 2008.

L. Fritsche, Y. Vanrenterghem, K. P. Nordal, J. M. Grinyo, F. Moreso et al., Practice variations in the evaluation of adult candidates for cadaveric kidney transplantation: a survey of the European transplant centers, Transplantation, vol.70, pp.1492-1499, 2000.

G. C. Oniscu, H. Brown, and J. L. Forsythe, Impact of cadaveric renal transplantation on survival in patients listed for transplantation, J Am Soc Nephrol, vol.16, pp.1859-65, 2005.

C. G. Rabbat, K. E. Thorpe, J. D. Russell, and D. N. Churchill, Comparison of mortality risk for dialysis patients and cadaveric first renal transplant recipients in Ontario, Canada. J Am Soc Nephrol, vol.11, pp.917-939, 2000.

R. A. Wolfe, V. B. Ashby, E. L. Milford, A. O. Ojo, R. E. Ettenger et al., Comparison of mortality in all patients on dialysis, patients on dialysis awaiting transplantation, and recipients of a first cadaveric transplant, N Engl J Med, vol.341, pp.1725-1755, 1999.

J. Concato, P. Peduzzi, T. R. Holford, and A. R. Feinstein, Importance of events per independent variable in proportional hazards analysis

I. Background, goals, and general strategy, J Clin Epidemiol, vol.48, pp.1495-501, 1995.