Results 241 to 250 of about 829,002 (272)

Proportional hazards (Cox) regression

Journal of General Internal Medicine, 1993
PROPORTIONAL HAZARDS ( C o x ) REGRESSION is a powerful analytic tool for testing whe the r several factors (e.g., cigarette smoking, hyper tens ion) are independent ly related to the rate (over t ime) of a specific event (e.g., heart attack yes /no) . It can also be used to control for baseline differences be t ween groups in nonrandomized studies and
M H, Katz, W W, Hauck
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Potts-Cox survival regression

Computational Statistics & Data Analysis, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martinez-Vargas, Danae, Murua-Sazo, Alejandro   +1 more
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Penalized likelihood in Cox regression

Statistics in Medicine, 1994
AbstractIn a Cox regression model, instability of the estimated regression coefficients can be reduced by maximizing a penalized partial log‐likelihood, where a penalty function of the regression coefficients is substracted from the partial log‐likelihood.
P J, Verweij, H C, Van Houwelingen
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Diagnostic Plots in Cox's Regression Model

Biometrics, 1991
Two diagnostic plots are presented for validating the fitting of a Cox proportional hazards model. The added variable plot is developed to assess the effect of adding a covariate to the model. The constructed variable plot is applied to detect nonlinearity of a fitted covariate. Both plots are also useful for identifying influential observations on the
Chen, Chen-Hsin, Wang, P. C.
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Cox Point Process Regression

2020
Point processes in time have a wide range of applications that include the claims arrival process in insurance or the analysis of queues in operations research. Due to advances in technology, such samples of point processes are increasingly encountered. A key object of interest is the local intensity function.
Gajardo, ��lvaro, M��ller, Hans-Georg   +1 more
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Cox proportional hazards regression

BMJ, 2013
Researchers measured the effect on one year mortality of secondary drug prevention for patients with stroke in routine primary care. They used a cohort study design, which incorporated patient data from the health improvement network primary care database. Participants were 12 830 patients aged 50 years or more from 113 general practices.
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Cox Regression (60 Patients)

2010
Primary scientific question: is there a significant difference in survival between the group treated with one treatment versus the other.
Ton J. Cleophas, Aeilko H. Zwinderman
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Fitting Cox Regression Models

2003
AbstractThis chapter describes the conceptual underpinnings of the Cox regression model and demonstrates how to fit it to data. Section 14.1 begins by developing the Cox model specification itself, demonstrating why it is a sensible representation. Section 14.2 describes how the model is fit.
Judith D. Singer, John B. Willett
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Cox Regressions

2023
Ton J. Cleophas, Aeilko H. Zwinderman
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Non-stationary Cox Regression

1998
Dans le modèle considéré, la fonction de risque est spécifiée comme le produit d'un terme paramétrique de régression et d'un risque de base non paramétrique. Contrairement au modèle à risques proportionnels de Cox, la fonction de base ne dépend pas seulement de la variable de durée, mais aussi de la date de début du phénomène d'intérêt.
Pons, O., Visser, M.
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