There are several methods for calculating residual in survival analysis, especially in Cox regression model by which each method has specific use, such as goodness-of-fit, to identify possible outliers and influential observations, or in general to check necessary assumptions. In this article, we study four methods of residuals, namely Schoenfeld, Martingale, deviance, and score residuals and we applied those methods on cardiovascular data
One of the most popular models for survival analysis is the Cox proportional hazard model. In this m...
<p>Cox Hazard Regression Analyses of Clinicopathologic Factors and the RAB27a for Overall Survival i...
This thesis consists of four papers about the assumption of proportional hazards for the Cox model i...
There have been proposed so far many methods of statistical diagnostics in Cox regression for checki...
Another approach to analyze survival data is to use regression analysis. This can be accomplished by...
<p>A. Survival probabilities obtained from the Cox-Snell residuals by considering the unit exponenti...
Additive regression models are preferred over multiplicative models in analy-sis of relative surviva...
Survival analysis examines and models the time it takes for events to occur, termed survival time. T...
The final publication (Aalen, Odd O., Richard J. Cook, and Kjetil Røysland. Does Cox analysis of a r...
<p>Cox regression survival plots showing cardiovascular mortality as a function of FMD, B-IMT, ADMA ...
Survival analysis is a collection of statistical methods for analyzing data where the outcome variab...
Multivariate cause-specific Cox proportional regression models for patient survival, technique survi...
How much does the survival of one group differ from the survival of another group? How do difference...
<p>Cox regression hazard analysis of factors associated with HCC-specific survival.</p
<p>Cox regression survival analysis for cut-off values of flow-mediated dilatation (FMD), brachial i...
One of the most popular models for survival analysis is the Cox proportional hazard model. In this m...
<p>Cox Hazard Regression Analyses of Clinicopathologic Factors and the RAB27a for Overall Survival i...
This thesis consists of four papers about the assumption of proportional hazards for the Cox model i...
There have been proposed so far many methods of statistical diagnostics in Cox regression for checki...
Another approach to analyze survival data is to use regression analysis. This can be accomplished by...
<p>A. Survival probabilities obtained from the Cox-Snell residuals by considering the unit exponenti...
Additive regression models are preferred over multiplicative models in analy-sis of relative surviva...
Survival analysis examines and models the time it takes for events to occur, termed survival time. T...
The final publication (Aalen, Odd O., Richard J. Cook, and Kjetil Røysland. Does Cox analysis of a r...
<p>Cox regression survival plots showing cardiovascular mortality as a function of FMD, B-IMT, ADMA ...
Survival analysis is a collection of statistical methods for analyzing data where the outcome variab...
Multivariate cause-specific Cox proportional regression models for patient survival, technique survi...
How much does the survival of one group differ from the survival of another group? How do difference...
<p>Cox regression hazard analysis of factors associated with HCC-specific survival.</p
<p>Cox regression survival analysis for cut-off values of flow-mediated dilatation (FMD), brachial i...
One of the most popular models for survival analysis is the Cox proportional hazard model. In this m...
<p>Cox Hazard Regression Analyses of Clinicopathologic Factors and the RAB27a for Overall Survival i...
This thesis consists of four papers about the assumption of proportional hazards for the Cox model i...