0.1 coxph: Cox Proportional Hazards Regression for Duration Dependent Variables
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چکیده
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 the baseline hazard does not vary across observations. The baseline hazard can be estimated from the model via post-hoc analysis.
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0.1 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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