Search results
- 1.0541888 - ÚI 2022 RIV GB eng J - Journal Article
Selingerová, I. - Katina, Stanislav - Horová, I.
Comparison of Parametric and Semiparametric Survival Regression Models with Kernel Estimation.
Journal of Statistical Computation and Simulation. Roč. 91, č. 13 (2021), s. 2717-2739. ISSN 0094-9655. E-ISSN 1563-5163
Grant - others:Ministerstvo zdravotnictví - GA MZd(CZ) 00209805
Institutional support: RVO:67985807
Keywords : Survival analysis * hazard function * Kernel estimation * simulations * Cox model
OECD category: Statistics and probability
Impact factor: 1.225, year: 2021
Method of publishing: Open access
http://dx.doi.org/10.1080/00949655.2021.1906875
Permanent Link: http://hdl.handle.net/11104/0319382File Download Size Commentary Version Access 0541888-aoaf.pdf 1 7.3 MB CC by-nc-nd/4.0/ Publisher’s postprint open-access 0541888-aoa.pdf 1 7.2 MB OA CC BY ND 4.0 Publisher’s postprint open-access - 2.0348654 - ÚTIA 2011 RIV CZ eng J - Journal Article
Timková, Jana
Bernstein - Von Mises theorem and its application in survival analysis.
Informační bulletin České statistické společnosti. Roč. 22, č. 3 (2010), s. 115-122. ISSN 1210-8022.
[16. letní škola JČMF Robust 2010. Králíky, 30.01.2010-05.02.2010]
R&D Projects: GA AV ČR(CZ) IAA101120604
Institutional research plan: CEZ:AV0Z10750506
Keywords : Cox model * bayesian asymptotics * survival function
Subject RIV: BB - Applied Statistics, Operational Research
http://library.utia.cas.cz/separaty/2010/SI/timkova-bernstein - von mises theorem and its application in survival analysis.pdf
Permanent Link: http://hdl.handle.net/11104/0189111 - 3.0305606 - ÚTIA 2008 RIV GB eng J - Journal Article
Kraus, David
Identifying nonproportional covariates in the Cox model.
[Identifikace neproporcionálních covariací v Coxově modelu.]
Communications in Statistics - Theory and Methods. Roč. 37, č. 4 (2008), s. 617-625. ISSN 0361-0926. E-ISSN 1532-415X
R&D Projects: GA AV ČR(CZ) IAA101120604; GA MŠMT(CZ) 1M06047; GA ČR(CZ) GD201/05/H007
Institutional research plan: CEZ:AV0Z10750506
Keywords : Cox model * goodness of fit * proportional hazards assumption * time-varying coefficients
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 0.324, year: 2008
Permanent Link: http://hdl.handle.net/11104/0158842 - 4.0106448 - UTIA-B 20040260 RIV CZ eng J - Journal Article
Volf, Petr
An application of nonparametric Cox regression model in reliability analysis: A case study.
[Aplikace neparametrické verze Coxova regresního modelu v analýze spolehlivosti, s případovou studií.]
Kybernetika. Roč. 40, č. 5 (2004), s. 639-648. ISSN 0023-5954
R&D Projects: GA ČR GA201/02/0049; GA ČR GA402/01/0539
Institutional research plan: CEZ:AV0Z1075907
Keywords : hazard rate * nonparametric regression * Cox model
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 0.224, year: 2004
Permanent Link: http://hdl.handle.net/11104/0013629File Download Size Commentary Version Access 0106448.pdf 0 1.3 MB Publisher’s postprint open-access - 5.0080937 - ÚTIA 2008 RIV NL eng J - Journal Article
Kraus, David
Data-driven smooth tests of the proportional hazards assumption.
[Řízený dat v hladkém kritérium proporcionálního riskantního předpokladu.]
Lifetime Data Analysis. Roč. 13, č. 1 (2007), s. 1-16. ISSN 1380-7870. E-ISSN 1572-9249
R&D Projects: GA AV ČR(CZ) IAA101120604; GA ČR(CZ) GD201/05/H007
Institutional research plan: CEZ:AV0Z10750506
Keywords : Cox model * Neyman's smooth test * proportional hazards assumption * Schwarz's selection rule
Subject RIV: BA - General Mathematics
Impact factor: 0.491, year: 2007
Permanent Link: http://hdl.handle.net/11104/0144957 - 6.0039284 - ÚTIA 2007 RIV AT eng J - Journal Article
Volf, Petr
On statistical analysis of compound point process.
[Statistická analýza složeného bodového procesu.]
Austrian Journal of Statistics. Roč. 35, 2-3 (2006), s. 389-396. ISSN 1026-597X
R&D Projects: GA ČR(CZ) GA402/04/1294
Institutional research plan: CEZ:AV0Z10750506
Keywords : counting process * compound process * hazard function * Cox-model
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0133418