Examples of 'cox regression' in a sentence
Meaning of "cox regression"
Cox regression: Cox regression is a statistical technique used to explore the relationship between the survival time of subjects and one or more predictor variables. It is commonly employed in medical research and epidemiology to analyze the impact of various factors on the time until a specific event occurs, such as death or disease progression
How to use "cox regression" in a sentence
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cox regression
Cox regression was used for multivariate analysis.
Survival analysis was performed by cox regression and kaplan meyer curves.
Cox regression was used to assess the relationship.
To evaluate the association between the outcome and patient variables was applied cox regression test.
Cox regression analysis was used to calculate relative risk.
Influence of prognostic variables was assessed by Cox regression.
Cox regression analysis was performed to identify the predictors of survival.
Survival was analyzed using Cox regression analysis.
Cox regression analysis was used to determine hazard ratios and independence of suPAR.
Survival was analyzed with Cox regression analysis.
Cox regression analysis was performed to assess the prognostic significance of the variables.
The adjusted hazard ratio was obtained using Cox regression.
The cox regression method was used to study the factors associated with mortality.
These results were further analyzed with Cox regression analysis.
Cox regression analysis was carried out to determine which factors were the best prognostic determinants.
See also
Multivariate analysis was performed by Cox regression for independent variables control.
Cox regression analysis was used to investigate the association between explanatory variables and outcomes.
Results for endpoint survival using the Cox regression model.
Cox regression for female smokers showed that suPAR was significantly associated with survival.
Multivariable survival analyses were also performed using Cox regression models.
Cox regression is used for Multivariate analysis.
Risk and survival estimates were calculated using Cox regression analyses.
The Cox regression model was used to identify predictors of restenosis.
The impact of each treatment on survival was calculated using a Cox regression model.
We repeated the Cox regression analyses adjusted for age.
The association between functional impairment and survival was assessed by Cox regression.
Cox regression analysis of TIN ratios for individuals miRNAs.
They used the same Cox regression models we used in this study.
Cox regression analysis of TIN ratios for individual miRNAs.
Multivariate analysis with a multiple Cox regression model was applied to analyse the data.
The Cox regression model was also used in the multivariate analysis.
The scores were calculated using the beta coefficient of the Cox regression model.
A multivariate Cox regression was carried out to identify independent risk factors for outcomes.
Another factor significantly associated with survival in Cox regression analysis is type of TB diagnosis.
Kaplan-meier and cox regression methods were used for survival analysis.
The risk scores may also be calculated using a univariate Cox regression analysis.
The logrank tests and Cox regression analyses will be stratified by geographic region.
The gross and adjusted relative risk of death was estimated by the Cox regression model.
The most parsimonious Cox regression model was used for the final multivariate model.
Only variables that affected outcome were included in the multivariate forward Cox regression analysis.
This result is further supported by Cox regression analysis with adjustment for classical risk factors.
The predictive values of biomarkers and clinical variables were assessed with Cox regression models.
Then do the Cox regression.
Both remained significantly associated with survival when included in a multivariate Cox regression model.
A Determined from Cox regression model.
Cox regression analyses confirmed these findings Table 1.
The potential predictors were allocated simultaneously and Cox regression was performed for the significant ones.
Table 2 Cox regression analysis for survival time.
Histological findings correlated with survival were initially evaluated using Cox regression analysis of individual values.
According to the Cox regression model, the hazard function is given as follows,.
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