Description of Multivariate Survival Period and Prediction of Multivariate Survival Rate with Cox Regression
Liu Run
Abstract
Liu Run
Abstract
Objectives To introduce the description of multivaiate survival period and prediction of multivariate survival rate with Cox regression.Methods Basic principles of survival function and linear inerpolation are introduced.The methods are illustrated by an example and the Cox regression procedure of SPSS 8 0.Results The table of comparison between survival period at mean of two covariates and Kaplan-Meier's and prediction of a case's survival rate are shown.Conclusion When is made the survival analysis involving in multivariates,it is objective and directive to use the method to make description and prediction.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Objectives To introduce the description of multivaiate survival period and prediction of multivariate survival rate with Cox regression.Methods Basic principles of survival function and linear inerpolation are introduced.The methods are illustrated by an example and the Cox regression procedure of SPSS 8 0.Results The table of comparison between survival period at mean of two covariates and Kaplan-Meier's and prediction of a case's survival rate are shown.Conclusion When is made the survival analysis involving in multivariates,it is objective and directive to use the method to make description and prediction.
Key concepts: Multivariate statistics, Proportional hazards model, Covariate, Survival analysis, Regression, Multivariate analysis, Statistics, Regression analysis