Testing for Covariate Effect in the Cox Proportional Hazards Regression Model
نویسندگان
چکیده
منابع مشابه
Time-dependent covariates in the Cox proportional-hazards regression model.
The Cox proportional-hazards regression model has achieved widespread use in the analysis of time-to-event data with censoring and covariates. The covariates may change their values over time. This article discusses the use of such time-dependent covariates, which offer additional opportunities but must be used with caution. The interrelationships between the outcome and variable over time can ...
متن کاملGradient lasso for Cox proportional hazards model
MOTIVATION There has been an increasing interest in expressing a survival phenotype (e.g. time to cancer recurrence or death) or its distribution in terms of a subset of the expression data of a subset of genes. Due to high dimensionality of gene expression data, however, there is a serious problem of collinearity in fitting a prediction model, e.g. Cox's proportional hazards model. To avoid th...
متن کاملEssays on the Assumption of Proportional Hazards in Cox Regression
Persson, I. 2002. Essays on the Assumption of Proportional Hazards in Cox Regression. Acta Universitatis Upsaliensis. Comprehensive Summaries of Uppsala Dissertations from the Faculty of Social Sciences 110. 36 pp. Uppsala. ISBN 91-554-5208-6. This thesis consists of four papers about the assumption of proportional hazards for the Cox model in survival analysis. The first paper compares the haz...
متن کامل0.1 coxph: Cox Proportional Hazards Regression for Duration Dependent Variables
Choose the Cox proportional hazards regression model if the values in your dependent variable are duration observations. The advantage of the semi-parametric Cox proportional hazards model over fully parametric models such as the exponential or Weibull models is that it makes no assumptions about the shape of the baseline hazard. The model only requires the proportional hazards assumption that ...
متن کامل0.1 coxph: Cox Proportional Hazards Regression for Duration Dependent Variables
Choose the Cox proportional hazards regression model if the values in your dependent variable are duration observations. The advantage of the semi-parametric Cox proportional hazards model over fully parametric models such as the exponential or Weibull models is that it makes no assumptions about the shape of the baseline hazard. The model only requires the proportional hazards assumption that ...
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ژورنال
عنوان ژورنال: Communications in Statistics - Theory and Methods
سال: 2009
ISSN: 0361-0926,1532-415X
DOI: 10.1080/03610920802536958