Results 31 to 40 of about 1,415,363 (344)
Validation of a Cox prognostic model for tooth autotransplantation
Clinical and Experimental Dental Research, 2023 Objectives This study aimed to validate our Cox proportional hazards prognostic model for autotransplantation of teeth with complete root formation using prognostic index (PI) and determine whether the prognosis can be predicted. Patients and Methods The
Toshiya Yoshino +6 more
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Dr. Sulaiman Al Habib Medical Journal, 2021 Under-five mortality is a substantial indicator of children's health, well-being, and consequently, socioeconomic development of a country. The primary focus of this study was to estimate the prevalence and identify the factors associated with under-5 ...
Ashis Talukder +4 more
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Nonparametric Estimation in the Cox Model [PDF]
The Annals of Statistics, 1993 Using multivariate counting processes the paper derives nonparametric estimators of the relative risk in a generalized Cox regression model with covariates. The estimators are derived using the penalized partial likelihood approach. The paper considers the asymptotic convergence of these estimators in the Sobolev \(W^{bm}_ 2\) norm and obtains upper ...
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Communications for Statistical Applications and Methods, 2017 The most popular regression model for the analysis of time-to-event data is the Cox proportional hazards model. While the model specifies a parametric relationship between the hazard function and the predictor vari-ables, there is no specification regarding the form of the baseline hazard function.
Elizabeth D. Schifano, Yishu Xue
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Using Wavelet Shrinkage in the Cox Proportional Hazards Regression model (simulation study) [PDF]
المجلة العراقية للعلوم الاحصائية, 2022 The proposed method in this paper dealt with the problem of data contamination in the Cox Proportional Hazards Regression model (CPHRM) by using Wavelet Shrinkage to de-noise data, calculating the discrete wavelet transformation coefficients for wavelets
taha ali, Jwana Rostam Qadir
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An exact corrected log-likelihood function for Cox's proportional hazards model under measurement error and some extensions [PDF]
, 2002 This paper studies Cox`s proportional hazards model under covariate measurement error. Nakamura`s (1990) methodology of corrected log-likelihood will be applied to the so called Breslow likelihood, which is, in the absence of measurement error ...
Augustin, Thomas
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Analysis of overfitting in the regularized Cox model [PDF]
Journal of Physics A: Mathematical and Theoretical, 2019 The Cox proportional hazards model is ubiquitous in the analysis of time-to-event data. However, when the data dimension p is comparable to the sample size $N$, maximum likelihood estimates for its regression parameters are known to be biased or break down entirely due to overfitting.
Mansoor Sheikh, Anthony C C Coolen
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Quasi-linear Cox proportional hazards model with cross- L1 penalty
BMC Medical Research Methodology, 2020 Background To accurately predict the response to treatment, we need a stable and effective risk score that can be calculated from patient characteristics.
Katsuhiro Omae, Shinto Eguchi
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Limit Theorems for a Cox-Ingersoll-Ross Process with Hawkes Jumps [PDF]
, 2014 In this paper, we propose a stochastic process, which is a Cox-Ingersoll-Ross process with Hawkes jumps. It can be seen as a generalization of the classical Cox-Ingersoll-Ross process and the classical Hawkes process with exponential exciting function ...
Zhu, Lingjiong
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Phase transitions for the Boolean model of continuum percolation for Cox point processes [PDF]
, 2020 We consider the Boolean model with random radii based on Cox point processes. Under a condition of stabilization for the random environment, we establish existence and non-existence of subcritical regimes for the size of the cluster at the origin in ...
Cali, Elie +2 more
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