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Results 1 to 25 of 288

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Regression models for survival data : the generalized time-dependent logistic familyMACKENZIE, G.Statistician (London. Print). 1996, Vol 45, Num 1, pp 21-34, issn 0039-0526Conference Paper

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

Jeffreys priors for survival models with censored dataDE SANTIS, Fulvio; MORTERA, Julia; NARDI, Alessandra et al.Journal of statistical planning and inference. 2001, Vol 99, Num 2, pp 193-209, issn 0378-3758Article

On the proportional odds model in survival analysisKIRMANI, S. N. U. A; GUPTA, Ramesh C.Annals of the Institute of Statistical Mathematics. 2001, Vol 53, Num 2, pp 203-216, issn 0020-3157Article

Comparison of the performance of neural network methods and Cox regression for censored survival dataXIANG, A; LAPUERTA, P; RYUTOV, A et al.Computational statistics & data analysis. 2000, Vol 34, Num 2, pp 243-257, issn 0167-9473Article

Parameter orthogonality in mixed regression models for survival dataHUTTON, J. L; SOLOMON, P. J.Journal of the Royal Statistical Society. Series B. Methodological. 1997, Vol 59, Num 1, pp 125-136, issn 0035-9246Article

Weighted mean survival test statistics : a class of distance tests for censored survival dataSHEN, Y; FLEMING, T. R.Journal of the Royal Statistical Society. Series B. Methodological. 1997, Vol 59, Num 1, pp 269-280, issn 0035-9246Article

Neural networks and logistic regression : Part ISCHUMACHER, M; ROSSNER, R; VACH, W et al.Computational statistics & data analysis. 1996, Vol 21, Num 6, pp 661-682, issn 0167-9473Article

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

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