kw.\*:("Donnée survie")
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Minimum-norm estimation for a bi-exponential survival modelNOV, Yuval; DAVIDOV, Ori.Statistics & probability letters. 2010, Vol 80, Num 7-8, pp 648-653, issn 0167-7152, 6 p.Article
Competing risks with frailty models when treatment affects only one failure typeFARAGGI, D; KORN, E. L.Biometrika. 1996, Vol 83, Num 2, pp 467-471, issn 0006-3444Article
Crossing hazard functions in common survival modelsJIAJIA ZHANG; YINGWEI PENG.Statistics & probability letters. 2009, Vol 79, Num 20, pp 2124-2130, issn 0167-7152, 7 p.Article
An individual measure of relative survivalSTARE, Janez; HENDERSON, Robin; POHAR, Maja et al.Applied statistics. 2005, Vol 54, pp 115-126, issn 0035-9254, 12 p., 1Article
Identification of prognostic factors with multivariate survival dataFENG GAO; MANATUNGA, Amita K; SHANDE CHEN et al.Computational statistics & data analysis. 2004, Vol 45, Num 4, pp 813-824, issn 0167-9473, 12 p.Article
Analyse de données de survie groupées avec covariables dépendant du temps : application à l'étude de l'effet prédictif de l'état de santé perçu sur le décès, chez les hommes de la cohorte Gazel observés dans la période 1989-1999NAKACHE, J-P; GUEGUEN, A; ZINS, M et al.Revue de statistique appliquée. 2004, Vol 52, Num 2, pp 27-49, issn 0035-175X, 23 p.Article
A generalization of the Weibull distribution with application to the analysis of survival dataMUDHOLKAR, G. S; SRIVASTAVA, D. K; KOLLIA, G. D et al.Journal of the American Statistical Association. 1996, Vol 91, Num 436, pp 1575-1583, issn 0162-1459Article
Identifiability conditions for covariate effects model on survival times under informative censoringDING, A. Adam.Statistics & probability letters. 2010, Vol 80, Num 11-12, pp 911-915, issn 0167-7152, 5 p.Article
A review of software packages for analyzing correlated survival dataKELLY, Patrick J.The American statistician. 2004, Vol 58, Num 4, pp 337-342, issn 0003-1305, 6 p.Article
Multistate models, flowgraph models, and semi-Markov processesHUZURBAZAR, Aparna V.Communications in statistics. Theory and methods. 2004, Vol 33, Num 3, pp 457-474, issn 0361-0926, 18 p.Article
A score test for the multivariate Burr and other Weibull mixture distributionsCROWDER, M; KIMBER, A.Scandinavian journal of statistics. 1997, Vol 24, Num 3, pp 419-432, issn 0303-6898Article
Explicit solutions for constrained maximum likelihood estimators in survival/sacrifice experimentsWILLIAMS, P. L; PORTIER, C. J.Biometrika. 1992, Vol 79, Num 4, pp 717-729, issn 0006-3444Article
Estimation régulière de la fonction d'intensité d'un processus ponctuel = Regular estimation of counting process intensities non parametric methodsANTONIADIS, A; GREGOIRE, G.Rapport de recherche - IMAG. 1989, issn 0750-7380, 22 p.Report
Modeling grouped survival data with time-dependent covariatesSILVEIRA CHALITA, Liciana V. A; COLOSIMO, Enrico A; RAIMUNDO DE SOUZA PASSOS, José et al.Communications in statistics. Simulation and computation. 2006, Vol 35, Num 4, pp 975-981, issn 0361-0918, 7 p.Article
PLS generalised linear regressionBASTION, Philippe; ESPOSITO VINZI, Vincenzo; TENENHAUS, Michel et al.Computational statistics & data analysis. 2005, Vol 48, Num 1, pp 17-46, issn 0167-9473, 30 p.Conference Paper
Estimating cure rates from survival data: An alternative to two-component mixture modelsTSODIKOV, A. D; IBRAHIM, J. G; YAKOVLEV, A. Y et al.Journal of the American Statistical Association. 2003, Vol 98, Num 464, pp 1063-1078, issn 0162-1459, 16 p.Article
On fitting Cox's proportional hazards models to survey dataLIN, D. Y.Biometrika. 2000, Vol 87, Num 1, pp 37-47, issn 0006-3444Article
Checking the marginal Cox model for correlated failure time dataSPIEKERMAN, C. F; LIN, D. Y.Biometrika. 1996, Vol 83, Num 1, pp 143-156, issn 0006-3444Article
The survival of newly founded firms: a case-study into varying-coefficient modelsKAUERMANN, Göran; TUTZ, Gerhard; BRÜDERL, Josef et al.Journal of the Royal Statistical Society. Series A. Statistics in society (Print). 2005, Vol 168, pp 145-158, issn 0964-1998, 14 p., 1Article
Bivariate estimation with right-truncated dataGÜRLER, Ü.Journal of the American Statistical Association. 1996, Vol 91, Num 435, pp 1152-1165, issn 0162-1459Article
Simulation study of the GLMM method applied to the analysis of clustered survival dataYAU, K. K. W; MCGILCHRIST, C. A.Journal of statistical computation and simulation (Print). 1996, Vol 55, Num 3, pp 189-200, issn 0094-9655Article
Proportional mean residual life model for right-censored length-biased dataKWUN CHUEN GARY CHAN; YING QING CHEN; DI, Chong-Zhi et al.Biometrika. 2012, Vol 99, Num 4, pp 995-1000, issn 0006-3444, 6 p.Article
Regression models for grouped survival data: Estimation and sensitivity analysisHASHIMOTO, Elizabeth M; ORTEGA, Edwin M. M; PAULA, Gilberto A et al.Computational statistics & data analysis. 2011, Vol 55, Num 2, pp 993-1007, issn 0167-9473, 15 p.Article
Approximate nonparametric corrected-score method for joint modeling of survival and longitudinal data measured with errorDE DIEU TAPSOBA, Jean; LEE, Shen-Ming; WANG, C. Y et al.Biometrical journal. 2011, Vol 53, Num 4, pp 557-577, issn 0323-3847, 21 p.Article
Sensitivity analysis of predictive modeling for responses from the three-parameter Weibull model with a follow-up doubly censored sample of cancer patientsKHAN, Hafiz M. R; ALBATINEH, Ahmed; ALSHAHRANI, Saeed et al.Computational statistics & data analysis. 2011, Vol 55, Num 12, pp 3093-3103, issn 0167-9473, 11 p.Article