Examples of 'cox model' in a sentence
Meaning of "cox model"
cox model: In statistics, Cox proportional hazards model is a regression analysis method used to investigate the relationship between the survival time of subjects and one or more predictor variables
How to use "cox model" in a sentence
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cox model
Cox model and linear mixed model.
Hazard ratio is based on unstratified Cox model.
Cox model analysis.
We now turn to the Cox model.
Cox model engine.
This is straightforward for the Cox model choice as prediction function.
The Cox model was used for multivariate analysis.
The key assumption underlying the Cox model is that of proportional hazards.
The Cox model assumes that the hazards are proportional.
Both of these model can be seen as a generalisation of the popular Cox model.
A separate Cox model was built to examine reason for release.
Statistical analysis were carried out with linear model and Cox model.
The Cox model was found to be most realistic in determining fire frequency.
Calculating sample size for the Cox model taking into account the statistical power.
The Cox model was implemented considering the partial healing of ulcers to be a failure.
See also
Univariate analyses is performed using the Cox model associating the biomarker with the survival time.
The Cox model was used to analyze survival dependent upon continuous variables.
B Hazard ratio based on the unadjusted Cox Model.
Some of the former Cox model train line is now sold by the Wm.
Time dependent covariate - extended Cox model.
The continuous Cox model revealed a tendency to increased survival with greater age.
Extending the Cox model.
The Cox model including two variables which vary in time will be used.
On trm analysis were used kaplan-meier and cox model method . it was considered a signif.
A multivariate Cox model of clinical outcome using the gene expression signature values was built.
Table 3 shows the final multivariate Cox model.
Extensions of Cox model for non-proportional hazards purpose.
Hazard ratio is expressed as treatment / control and estimated from Cox model.
Table 5 shows the univariate Cox model for cardiovascular mortality.
We propose two two-step procedures to estimate the unknown parameters of the Cox model.
In addition, a multivariate Cox model was used to control for potentially confounding factors.
For all regression analyses, the assumptions of the Cox model were tested and met.
For example, the Cox model focused more on physical activity and ethnicity.
Predicted value for replacement rate from Table 9 is incorporated into a Cox model.
In addition, the Cox model was used to identify factors associated with all-cause mortality.
Crude and adjusted relative risks ( RR ) were estimated by using a Cox model.
For example, incorrectly assuming the Cox model can in some cases lead to faulty conclusions.
P-values were calculated using Cox model.
The univariate Cox model for cardiovascular events is shown in Table 3.
Hazard risk ( HR ) to death was estimated with multivariable Cox model.
The well-known Cox model is a set of semi-parametric assumptions.
Cox model identified the ulcer 's time of manifestation as the only significant variable p=0.01.
In addition, the weighted Cox model was slightly, but systematically, less biased than logistic regression.
A multivariate Cox model including significant variables p < 0.20 was constructed and used to adjust for confounders.
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