Add to ORKGThe survival in a group of patients is calculated using a Kaplan-Meier curve and the hypothesis that the survival can be predicted by a specified Cox hazard is studied. This Cox hazard is obtained from a previous study of similar patients. A simple test of the hypothesis is constructed by comparing a suitable average of the individual predicted survival curves with the observed survival. Three averaging procedures are presented; "direct adjusted survival curve", "Bonsel's survival curve" and "expected survival curve". Consistency and asymptotic distribution properties of the comparisons are discussed
<p>Multivariate predictors of overall survival according to Cox proportional hazard model.</p
Survival outcome has been one of the major endpoints for clinical trials; it gives information on th...
<p>Cox proportional hazards model for recurrence-free survival and overall survival (<i>n</i> = 262)...
The survival in a group of patients is calculated using a Kaplan-Meier curve and the hypothesis th...
<p>A. Survival probabilities obtained from the Cox-Snell residuals by considering the unit exponenti...
Summary. We suggest a new measure of the proportion of the variation of possibly censored survival t...
reason, computer programs or web-based programs have been reported [1-3], but these programs are lim...
Results of the Cox proportional-hazard model for prediction of overall survival.</p
<p>The curves are similar, and less extreme than the mono-variable survival plot; this is a feature ...
<p>Cox proportional hazard model analysis of variables predicting the overall survival.</p
<p>Results of univariate and multivariate survival analyses for overall survival by the Cox proporti...
<p>In each graph, the effect of the covariate is graphed over time based on the Cox proportional haz...
Statistical modeling of lifetime data, or survival analysis, is studied in many fields, including me...
Survival analysis methods are a mainstay of the biomedical fields but are finding increasing use in ...
This thesis consists of four papers about the assumption of proportional hazards for the Cox model i...
<p>Multivariate predictors of overall survival according to Cox proportional hazard model.</p
Survival outcome has been one of the major endpoints for clinical trials; it gives information on th...
<p>Cox proportional hazards model for recurrence-free survival and overall survival (<i>n</i> = 262)...
The survival in a group of patients is calculated using a Kaplan-Meier curve and the hypothesis th...
<p>A. Survival probabilities obtained from the Cox-Snell residuals by considering the unit exponenti...
Summary. We suggest a new measure of the proportion of the variation of possibly censored survival t...
reason, computer programs or web-based programs have been reported [1-3], but these programs are lim...
Results of the Cox proportional-hazard model for prediction of overall survival.</p
<p>The curves are similar, and less extreme than the mono-variable survival plot; this is a feature ...
<p>Cox proportional hazard model analysis of variables predicting the overall survival.</p
<p>Results of univariate and multivariate survival analyses for overall survival by the Cox proporti...
<p>In each graph, the effect of the covariate is graphed over time based on the Cox proportional haz...
Statistical modeling of lifetime data, or survival analysis, is studied in many fields, including me...
Survival analysis methods are a mainstay of the biomedical fields but are finding increasing use in ...
This thesis consists of four papers about the assumption of proportional hazards for the Cox model i...
<p>Multivariate predictors of overall survival according to Cox proportional hazard model.</p
Survival outcome has been one of the major endpoints for clinical trials; it gives information on th...
<p>Cox proportional hazards model for recurrence-free survival and overall survival (<i>n</i> = 262)...