An analysis of factors influencing dropout in methadone maintenance treatment program in Dehong Prefecture of China based on Cox regression and decision tree modelling. [PDF]
Zhou Q +8 more
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Construction and evaluation of a risk model for adverse outcomes of necrotizing enterocolitis based on LASSO-Cox regression. [PDF]
Zhang H, Yang R, Yao Y.
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Establishment of a nomogram based on Lasso Cox regression for albumin combined with systemic immune-inflammation index score to predict prognosis in advanced pancreatic carcinoma. [PDF]
Xu M, Long Y, Chen P, Li A, Xin J, Xu Y.
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Impact of Noradrenaline Administration Dosage on the Occurrence of Peripheral Intravenous Catheter-Related Venous Phlebitis in Critically Ill Patients Using a Time-Dependent Multilevel Cox Regression Model. [PDF]
Yasuda H +15 more
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Danae Martinez-Vargas +1 more
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Penalized likelihood in Cox regression
Statistics in Medicine, 1994AbstractIn 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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Proportional hazards (Cox) regression
Journal of General Internal Medicine, 1993PROPORTIONAL 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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An Extension of Cox's Regression Model
International Statistical Review / Revue Internationale de Statistique, 1983Summary It is shown how one can construct a model for a jump process depending on an arbitrary intensity measure with the property that if the measure is absolutely continuous it reduces to Cox's regression model for survival data. The model has the property that the maximum likelihood estimator of the parameters are Cox's estimate for the regression ...
Søren Johansen, Soren Johansen
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