Projection de l'incidence et de la mortalité par cancer en France en 2010, 2010. ,
Role of surgical outcome as prognostic factor in advanced epithelial ovarian cancer: A combined exploratory analysis of 3 prospectively randomized phase 3 multicenter trials, Cancer, vol.16, issue.6, pp.1234-1278, 2009. ,
DOI : 10.1097/01.AOG.0000192407.04428.bb
The optimal organization of gynecologic oncology services: a systematic review, Current Oncology, vol.22, issue.4, pp.282-93, 2015. ,
DOI : 10.3747/co.22.2482
Ten Years??? Experience With Centralized Surgery of Ovarian Cancer in One Health Region in Norway, International Journal of Gynecological Cancer, vol.22, issue.2 ,
DOI : 10.1097/IGC.0b013e31823589ef
The National Cancer Database report on advanced-stage epithelial ovarian cancer: Impact of hospital surgical case volume on overall survival and surgical treatment paradigm, Gynecologic Oncology, vol.118, issue.3, pp.262-269, 2010. ,
DOI : 10.1016/j.ygyno.2010.05.025
High-volume ovarian cancer care: Survival impact and disparities in access for advanced-stage disease, Gynecologic Oncology, vol.132, issue.2, pp.403-413, 2014. ,
DOI : 10.1016/j.ygyno.2013.12.017
Impact of National Cancer Institute Comprehensive Cancer Centers on Ovarian Cancer Treatment and Survival, Journal of the American College of Surgeons, vol.220, issue.5, pp.940-50, 2015. ,
DOI : 10.1016/j.jamcollsurg.2015.01.056
Is it time to centralize ovarian cancer care in the United States?, Surg Oncol, vol.23, pp.998-1001, 2015. ,
Influence of hospital procedure volume on ovarian cancer survival in Japan, a country with low incidence of ovarian cancer, Cancer Science, vol.312, issue.3, pp.233-240, 2004. ,
DOI : 10.1006/gyno.2001.6335
Quality of care in advanced ovarian cancer: The importance of provider specialty, Gynecologic Oncology, vol.117, issue.1, pp.18-22, 2010. ,
DOI : 10.1016/j.ygyno.2009.12.033
Surgical outcomes and national comprehensive cancer network compliance in advanced ovarian cancer surgery in a low volume military treatment facility, Gynecologic Oncology, vol.131, issue.1, pp.158-62, 2013. ,
DOI : 10.1016/j.ygyno.2013.07.001
Trends in Gynecologic Cancer Care in North America, Obstetrics and Gynecology Clinics of North America, vol.39, issue.2, pp.107-136, 2012. ,
DOI : 10.1016/j.ogc.2012.02.003
Specialized and high-volume care leads to better outcomes of ovarian cancer treatment in the Netherlands, Gynecologic Oncology, vol.112, issue.3, pp.455-61, 2009. ,
DOI : 10.1016/j.ygyno.2008.11.011
Centralisation of services for gynaecological cancers ??? A Cochrane systematic review, Gynecologic Oncology, vol.126, issue.2, pp.286-90, 2012. ,
DOI : 10.1016/j.ygyno.2012.04.012
Chirurgie des cancers: Les critères d'autorisation de l'Inca sont-ils pertinents? Extrait des Mises à jour en Gynécologie et Obstétrique -Tome XXXII, 2008. ,
The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments, Statistics in Medicine, vol.61, issue.3, pp.1242-58, 2014. ,
DOI : 10.1111/j.1541-0420.2005.00356.x
Good research practices for comparative effectiveness research:analytic methods to improve causal inference from nonrandomized studies of treatment effects using secondary data sources: the ISPOR good research practices for retrospective database analysis task force report?part III. Value Health, pp.1062-73, 2009. ,
Chi-squared goodness-of-fit tests for the proportional hazards regression model, Biometrika, vol.67, issue.1, pp.145-53, 1980. ,
DOI : 10.1093/biomet/67.1.145
Matching Methods for Causal Inference: A Review and a Look Forward, Statistical Science, vol.25, issue.1, pp.1-21, 2010. ,
DOI : 10.1214/09-STS313
URL : http://doi.org/10.1214/09-sts313
Marginal structural models; in: American Statistical Association: 1997 proceedings of the section on Bayesian Statistical Science, pp.1-10, 1998. ,
Adjusted Kaplan???Meier estimator and log-rank test with inverse probability of treatment weighting for survival data, Statistics in Medicine, vol.135, issue.20, pp.3089-110, 2005. ,
DOI : 10.1007/978-1-4612-4348-9
Adjusted survival curves with inverse probability weights, Computer Methods and Programs in Biomedicine, vol.75, issue.1, pp.45-54, 2004. ,
DOI : 10.1016/j.cmpb.2003.10.004
The Robust Inference for the Cox Proportional Hazards Model, Journal of the American Statistical Association, vol.4, issue.408, pp.1074-1082, 1989. ,
DOI : 10.2307/1912526
Pattern of care and impact of participation in clinical studies on the outcome in ovarian cancer, International Journal of Gynecological Cancer, vol.15, issue.2, pp.183-91, 2005. ,
DOI : 10.1111/j.1525-1438.2005.15202.x
The performance of different propensity score methods for estimating marginal hazard ratios, Statistics in Medicine, vol.11, issue.3, pp.2837-2886, 2013. ,
DOI : 10.1002/pst.537
Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?, SSRN Electronic Journal, vol.125, pp.305-53, 2005. ,
DOI : 10.2139/ssrn.286297
Examining the Effects of Time to Diagnosis, Income, Symptoms, and Incidental Detection on Overall Survival in Epithelial Ovarian Cancer, International Journal of Gynecological Cancer, vol.27, issue.8, pp.1637-1681, 2017. ,
DOI : 10.1097/IGC.0000000000001074
Kernel matching versus inverse probability weighting: a comparative study, Int Sci Index Math Comput Sci, vol.7, pp.1218-1251, 2013. ,
Improved patient survivals with colorectal cancer under multidisciplinary team care: A nationwide cohort study of 25,766 patients in Taiwan, Health Policy, vol.120, issue.6, pp.674-81, 2016. ,
DOI : 10.1016/j.healthpol.2016.04.001
The excess health care costs of KardioPro, an integrated care program for coronary heart disease prevention, Health Policy, vol.119, issue.6, pp.778-86, 2015. ,
DOI : 10.1016/j.healthpol.2015.01.012
Average Risks of Breast and Ovarian Cancer Associated with BRCA1 or BRCA2 Mutations Detected in Case Series Unselected for Family History: A Combined Analysis of 22 Studies, The American Journal of Human Genetics, vol.72, issue.5, pp.1117-1147, 2003. ,
DOI : 10.1086/375033