Zobrazeno 1 - 10
of 9 218
pro vyhledávání: '"censored data"'
Autor:
Jian-Jian Ren, Yiming Lyu
Publikováno v:
Stats, Vol 7, Iss 3, Pp 944-954 (2024)
In analysis of survival data, the Accelerated Life Model (ALM) is one of the widely used semiparametric models, and we often encounter various types of censored survival data, such as right censored data, doubly censored data, interval censored data,
Externí odkaz:
https://doaj.org/article/cacf793dde7c495699dc9bc7b232c128
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Survival analysis in medical research has witnessed a growing interest in applying deep learning techniques to model complex, high-dimensional, heterogeneous, incomplete, and censored data. Current methods make assumptions about the relation
Externí odkaz:
https://doaj.org/article/440b3a3116254cfca5058339436ffc17
Autor:
Mohamed A.S. Ishag, Anthony Wanjoya, Aggrey Adem, Rehab Alsultan, Abdulaziz S. Alghamdi, Ahmed Z. Afify
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 587-602 (2024)
The proportional hazard regression models are widely used statistical tools for analyzing survival data and estimating the effects of covariates on survival times. It is assumed that the effects of the covariates are constant across the time. In this
Externí odkaz:
https://doaj.org/article/39f40f38d01248d69d8a1997eb6ab871
Autor:
Chen-Han Chueh, Pei-Kuan Ho, Wai-Hou Li, Ming-Neng Shiu, I.-Ting Wang, Yu-Wen Wen, Yi-Wen Tsai
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Hormone therapy (HT) use among menopausal women declined after negative information from the 2002 Women’s Health Initiative (WHI) HT study. The 2017 post-intervention follow-up WHI study revealed that HT did not increase long-te
Externí odkaz:
https://doaj.org/article/5aa359ebf7354303b867054d8bf8d221
Autor:
Kayid Mohamed
Publikováno v:
Open Physics, Vol 22, Iss 1, Pp 375-89 (2024)
In many physical situations, it is reasonable to assume that the α-quantile of past life functions is increasing. In this study, we propose a new estimator for an increasing α-quantile of the past life function for right-censored data. We investiga
Externí odkaz:
https://doaj.org/article/ce3cfbc1785742a0af4970823ba58b7b
Autor:
Mohamed Kayid
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 15346-15360 (2024)
In reliability engineering and survival analysis, quantile functions are fundamental and often the most natural way to represent probability distributions and data samples. In this paper, the $ \alpha $-quantile function of past lifetime was estimate
Externí odkaz:
https://doaj.org/article/635461d63a3d4ff4824c77ec82b430bb
Autor:
Hamami Loubna, Hafida Goual, Fatimah M. Alghamdi, Manahil SidAhmed Mustafa, Getachew Tekle Mekiso, M. Masoom Ali, Abdullah H. Al-Nefaie, Hassan Alsuhabi, Mohamed Ibrahim, Haitham M. Yousof
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Frailty models are important for survival data because they allow for the possibility of unobserved heterogeneity problem. The problem of heterogeneity can be existed due to a variety of factors, such as genetic predisposition, environmental
Externí odkaz:
https://doaj.org/article/d566f7968369470799f6c9c90a8505e2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Mixture distributions are naturally extra attractive to model the heterogeneous environment of processes in reliability analysis than simple probability models. This focus of the study is to develop and Bayesian inference on the 3-component
Externí odkaz:
https://doaj.org/article/cfe57d21aef14a69b0cd42922e3fb688
Autor:
Pei-Hsi Lee, Shih-Lung Liao
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract In recent years, deep learning methods have been widely used in combination with control charts to improve the monitoring efficiency of complete data. However, due to time and cost constraints, data obtained from reliability life tests are o
Externí odkaz:
https://doaj.org/article/6ab1ca3c9be44ffa8b7c93a424b440b0