Results 31 to 40 of about 304,906 (296)
Nonparametric Bayesian hazard rate models based on penalized splines [PDF]
, 2003 Extensions of the traditional Cox proportional hazard model, concerning the following features are often desirable in applications: Simultaneous nonparametric estimation of baseline hazard and usual fixed covariate effects, modelling and detection of ...
Fahrmeir, Ludwig, Hennerfeind, Andrea
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E-Jurnal Matematika, 2013 Survival analysis is a statistical method that accommodates the collection of censored data. One of popular method in survival analysis is the Cox Proportional Hazard Regression.
I GEDE ARI SUDANA +2 more
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An Application of the Cox-Aalen Model for Breast Cancer Survival
Austrian Journal of Statistics, 2016 Semiparametric hazard function regression models are among the well studied risk models in survival analysis. The Cox proportional hazards model has been a popular choice in modelling data from epidemiological settings.
Ileana Baldi +5 more
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MethodsXIn 2022, tobacco was the top export commodity, generating $106.3 million in sales. East Java Province contributes significantly to Indonesia's tobacco production, with an annual output of 188.6 thousand tons.
Angga Iryanto Pratama +4 more
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Computational and Structural Biotechnology Journal, 2022 Background: Cox proportional hazard regression (CPH) model relies on the proportional hazard (PH) assumption: the hazard of variables is independent of time. CPH has been widely used to identify prognostic markers of the transcriptome.
Zihang Zeng +7 more
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Estimating Time-Varying Effects of Prognostic Factors for Stomach Cancer Patients within a Dynamic Grouped Cox Model [PDF]
, 1996 We describe the identification of prognostic factors in the framework of a completely resected stomach cancer survival-study. For the analysis the dynamic grouped Cox-Model was used allowing for time-varying covariate effects.
Nekarda, H. +2 more
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What is Cox's Proportional Hazards Model?
Significance, 2022 Abstract Robert Tibshirani gives an overview of one of David Cox's most widely applied ideas, for which he was awarded the International Prize in Statistics in ...
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Mathematics, 2022 In this paper, we determined the factors that affect the waiting time of rice farmers’ willingness to pay the premium for the Rice Farming Insurance Program (RFIP) using survival analysis.
Yuyun Hidayat +5 more
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IEEE AccessAs the operational years of power facilities increase, the importance of accurately assessing the remaining lifespan or risk of failures of distribution transformers for the stable power supply has also grown.
Cheonkyu Park, Chongeun Cho, Do-In Kim
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Aplikasi Model Proportional Hazard Cox pada Waktu Tunggu Kerja Lulusan Jurusan Matematika Fakultas MIPA Universitas Sriwijaya [PDF]
, 2014 Penelitian ini bertujuan untuk (1) menentukan nilai peluang dari waktu mendapatkan pekerjaan per-tama lulusan, (2) mengetahui bagaimana pengaruh beberapa karateristik terhadap waktu mendapatkan pe-kerjaan pertama lulusan dengan menerapkan model ...
Amran, A. (Ali) +2 more
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