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Local Linear Estimation for Time-Dependent Coefficients in Cox's Regression Models
Scandinavian Journal of Statistics, 2003This article develops a local partial likelihood technique to estimate the time‐dependent coefficients in Cox's regression model. The basic idea is a simple extension of the local linear fitting technique used in the scatterplot smoothing. The coefficients are estimated locally based on the partial likelihood in a window around each time point ...
Zongwu Cai, Yanqing Sun
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Cox regression analysis of dependent interval-censored failure time data
Computational Statistics and Data Analysis, 2016 Ling Ma, Tao Hu, Jianguo Sun
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On the use of Cox regression in the presence of an irregularly observed time‐dependent covariate
Statistics in Medicine, 2001 AbstractWe consider the joint modelling of longitudinal and event time data. The longitudinal data are irregularly collected and the event times are subject to right censoring. Most methods described in the literature are quite complex and do not belong to the standard statistical tools.
Mattheus H. J. de Bruijne +3 more
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Cox Regression With/Without Time Dependent Variables (60 Patients)
, 2015 Cox regression is very popular for describing survival research. It uses an exponential model like in the above figure. Instead of 1/2t = 2−t, e−t better matches biological data (e = Euler’s number). If you have two treatment groups, then the proportion survivors can be described by Kaplan Meier curves, and Cox computes the best fit exponential curves ...
Ton J. Cleophas, Aeilko H. Zwinderman
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Gastroenterology, 2009 BACKGROUND/AIMS; The prognostic assessment of hepatocellular carcinoma (HCC) patients using time-fixed Cox regression models have been made up to the present. The aim of this study was to develop the novel prognostic model of HCC by time-dependent Cox regression analysis. METHODS; Five hundred and sixty-three patients with HCC who had initial treatment
Kenji Kuwaki +9 more
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Time-Dependent Effects of Fixed Covariates in Cox Regression
Biometrics, 1995A nonparametric modification is proposed for Cox's proportional hazards model (Cox, 1972, Journal of the Royal Statistical Society, Series B 34, 187-220), where the covariates are fixed, but their effects are allowed to vary in time. Parameters are introduced for the covariate effects at the (uncensored) survival times.
Verweij, Pierre J. M. +1 more
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On fitting Cox's regression model with time-dependent coefficients
Biometrika, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marzec, Leszek, Marzec, Paweł
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Scandinavian Journal of Gastroenterology, 1986
A multivariate Cox regression analysis with time-dependent variables has been performed on the data of 415 patients with cirrhosis included in a controlled clinical trial of 10-15 mg prednisone daily versus placebo. The analysis showed that a poor prognosis was associated with a low prothrombin index, marked ascites, GI bleeding, high age, high daily ...
P Schlichting, L Fauerholdt, E Juhl
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A multivariate Cox regression analysis with time-dependent variables has been performed on the data of 415 patients with cirrhosis included in a controlled clinical trial of 10-15 mg prednisone daily versus placebo. The analysis showed that a poor prognosis was associated with a low prothrombin index, marked ascites, GI bleeding, high age, high daily ...
P Schlichting, L Fauerholdt, E Juhl
exaly +4 more sources
Chinese Journal of Integrative Medicine, 2023 To assess whether the use of Tanreqing (TRQ) Injection could show improvements in time to extubation, intensive care unit (ICU) mortality, ventilator-associated events (VAEs) and infection-related ventilator associated complication (IVAC) among patients receiving mechanical ventilation (MV).A time-dependent cox-regression analysis was conducted using ...
Wen Wang +7 more
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