Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Nihal Ata Tutkun"'
Autor:
Derya Karagöz, Nihal Ata Tutkun
Publikováno v:
Statistica, Vol 81, Iss 1, Pp 3-23 (2021)
The aim of this study is to estimate the robust survival function for the Weibull distribution. Since the survival function of Weibull distribution is based on the parameters, we consider two robust and explicit Weibull parameter estimators proposed
Externí odkaz:
https://doaj.org/article/8aca79b0e5794d06959bec09c3e1825c
Autor:
Hilal Ölmez Hosta, Nihal Ata Tutkun
Publikováno v:
Alphanumeric Journal, Vol 6, Iss 2, Pp 377-394 (2018)
In survival analysis which is used in the social and physical sciences, it is usually assumed that the observed process is continuous. Since this assumption is not appropriate for most of the survival time data structure, survival times are measured
Externí odkaz:
https://doaj.org/article/2bd25faf1ae14a3284da77fbc069ed94
Autor:
Nihal Ata Tutkun, Diren Yeğen
Publikováno v:
Alphanumeric Journal, Vol 4, Iss 1, Pp 45-56 (2016)
The Cox regression model which is commonly used in survival analysis is established under the proportional hazards assumption. However cases in which the data shows heterogeneity come across in studies. In this case, heterogeneity should be explained
Externí odkaz:
https://doaj.org/article/75358021cdec4c6f9061dd0336eba2a7
Autor:
Yusuf Kahya, Bülent Mustafa Yenigün, Gökhan Kocaman, Nihal Ata Tutkun, Elgin Ozkan, Serpil Dizbay Sak, Ayten Kayi Cangir, Emre Muhammed Koçak, Cigdem Soydal
Publikováno v:
Turkish Journal of Thoracic and Cardiovascular Surgery
Background In this study, we aimed to investigate the prognostic value of metabolic 18F-fluorodeoxyglucose positron emission tomography/computed tomography parameters in malignant pleural mesothelioma patients. Methods A total of 65 patients with mal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56e3644d1d0c73d13dc29e90048da0c3
https://doi.org/10.5606/tgkdc.dergisi.2021.20432
https://doi.org/10.5606/tgkdc.dergisi.2021.20432
Autor:
Nihal Ata Tutkun, Pius Marthin
Publikováno v:
Mathematical Sciences. 15:99-109
Applications of misspecified models in the field of survival analysis particularly frailty models may result in poor generalization and biases. Since gamma and inverse Gaussian distributions are often used interchangeably as frailty distributions for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaaacafab8355ce85ca9adba1905224a
https://doi.org/10.1007/s40096-020-00366-1
https://doi.org/10.1007/s40096-020-00366-1
Publikováno v:
Volume: 49, Issue: 2 869-886
Hacettepe Journal of Mathematics and Statistics
Hacettepe Journal of Mathematics and Statistics
Multivariate models such as the Cox regression model, if developed carefully, are powerful tools for making prognostic prediction which are frequently used in studies of clinical outcomes. Many applications require a large number of variables to be m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42d8426012f84c304828c72c4bd1a73c
https://doi.org/10.15672/hujms.630402
https://doi.org/10.15672/hujms.630402
Autor:
Nihal Ata Tutkun, Nursel Koyuncu
Publikováno v:
Volume: 49, Issue: 1 458-477
Hacettepe Journal of Mathematics and Statistics
Hacettepe Journal of Mathematics and Statistics
The proportional hazards model is one of the most common model for analyzing survival data. Only proportional hazards assumption is required to apply this model. Using appropriate sampling methods is an important part of modelling data and estimation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f6591f50172214f73bc4e4134b4d54a
https://doi.org/10.15672/hujms.617303
https://doi.org/10.15672/hujms.617303
Publikováno v:
Journal of Statistical Computation and Simulation. 89:660-667
Survival models with continuous-time data are still superior methods of survival analysis. However when the survival data is discrete, taking it as continuous leads the researchers to incorrect res...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a54150d99a4a50738252e166d2971364
https://doi.org/10.1080/00949655.2018.1564308
https://doi.org/10.1080/00949655.2018.1564308
Autor:
Nihal Ata Tutkun, Aslıhan Şentürk Acar
Publikováno v:
Volume: 6, Issue: 2 158-164
Mugla Journal of Science and Technology
Mugla Journal of Science and Technology
Cox regression model is used for modelling censored data to investigate the association between the survival time and covariates. It is important to assess the fit of Cox regression model since it has a key assumption called proportional hazards. Vio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83feab529c3f0be35b32413f25351715
https://dergipark.org.tr/tr/pub/muglajsci/issue/57006/804566
https://dergipark.org.tr/tr/pub/muglajsci/issue/57006/804566
Publikováno v:
International Journal of ADVANCED AND APPLIED SCIENCES. 4:91-95
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b47ddfefef2ac265e9c9af3730424fa
https://doi.org/10.21833/ijaas.2017.04.014
https://doi.org/10.21833/ijaas.2017.04.014