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DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network [PDF]
BMC Medical Research Methodology, 2016 BackgroundMedical practitioners use survival models to explore and understand the relationships between patients’ covariates (e.g. clinical and genetic features) and the effectiveness of various treatment options. Standard survival models like the linear
Jared Katzman +5 more
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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 Assessment of the Cox Proportional Hazards Regression Model for Epidemiologic Studies
Risk Analysis, 2018 The basic assumptions of the Cox proportional hazards regression model are rarely questioned. This study addresses whether hazard ratio, i.e., relative risk (RR), estimates using the Cox model are biased when these assumptions are violated.
S. Moolgavkar +3 more
semanticscholar +1 more source
Asymptotic normality of corrected estimator in Cox proportional hazards model with measurement error
Modern Stochastics: Theory and Applications, 2014 Cox proportional hazards model is considered. In Kukush et al. (2011), Journal of Statistical Research, Vol. 45, No. 2, 77–94 simultaneous estimators $\lambda _{n}(\cdot )$ and $\beta _{n}$ of baseline hazard rate $\lambda (\cdot )$ and regression ...
C. Chimisov, A. Kukush
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Geoadditive hazard regression for interval censored survival times [PDF]
, 2005 The Cox proportional hazards model is the most commonly used method when analyzing the impact of covariates on continuous survival times. In its classical form, the Cox model was introduced in the setting of right-censored observations.
Kneib, Thomas
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Standard errors for the cox proportional hazards cure model
Mathematical and Computer Modelling, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Judy P. Sy, Jeremy M. G. Taylor
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Modern Stochastics: Theory and Applications, 2018 Cox proportional hazards model with measurement errors is considered. In Kukush and Chernova (2017), we elaborated a simultaneous estimator of the baseline hazard rate $\lambda (\cdot )$ and the regression parameter β, with the unbounded parameter set ...
Oksana Chernova, Alexander Kukush
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Survival analysis of irish amyotrophic lateral sclerosis patients diagnosed from 1995-2010. [PDF]
PLoS ONE, 2013 IntroductionThe Irish ALS register is a valuable resource for examining survival factors in Irish ALS patients. Cox regression has become the default tool for survival analysis, but recently new classes of flexible parametric survival analysis tools ...
James Rooney +7 more
doaj +1 more source
, 2018 The Cox model, which remains as the first choice in analyzing time-to-event data even for large datasets, relies on the proportional hazards assumption. When the data size exceeds the computer memory, the standard statistics for testing the proportional ...
Schifano, Elizabeth D. +3 more
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Hepatic resection for metastatic colorectal adenocarcinoma: A proposal of a prognostic scoring system [PDF]
, 1999 Background: Hepatic resection for metastatic colorectal cancer provides excellent longterm results in a substantial proportion of patients. Although various prognostic risk factors have been identified, there has been no dependable staging or prognostic ...
Bonham, AC +9 more
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