<p>Univariate Model Fits for Ages 45–54, 55–64, and Ages 65–74 Mortality Rates.</p
<p>*Model adjusted on previous heart disease and gender.</p><p>Associations between age (>70 vs<70) ...
<p>Univariate and multivariate Cox regression models to predict 28-day mortality.</p
Predictive multivariate regression model of mortality, age and outcomes in studied patients.</p
<p>Univariate Model Fits for Ages 15–24, 25–34, and Ages 35–34 Mortality Rates.</p
The age-pattern of mortality can be represented by various parametric models. In the present paper w...
<p>Univariable and Multivariable Models predicting Overall Survival (n = 1935).</p
<p>Univariate and multivariate cox regression models for the prediction of 30-day mortality.</p
<p>The models follow the equations, , where κ represents adult survival (κ = 0.98 in curves shown he...
Calibration curve of the final model in the elderly subset (≥ 75 years) of the validation cohort.</p
Modelled using flexible parametric models including diagnosis, age, gender and diagnosis by gender i...
<p>Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, p...
<p>Univariate Model Fits for Average Poor Mental Health Days and Average Poor Physical Health Days.<...
Stochastic modeling of mortality rates focuses on fitting linear models to logarithmically adjusted ...
<p>Number of deaths and excess hazard ratio (EHR) in ‰ compared to November (95% confidence interval...
Modelled using flexible parametric models including diagnosis, age, gender and diagnosis by gender i...
<p>*Model adjusted on previous heart disease and gender.</p><p>Associations between age (>70 vs<70) ...
<p>Univariate and multivariate Cox regression models to predict 28-day mortality.</p
Predictive multivariate regression model of mortality, age and outcomes in studied patients.</p
<p>Univariate Model Fits for Ages 15–24, 25–34, and Ages 35–34 Mortality Rates.</p
The age-pattern of mortality can be represented by various parametric models. In the present paper w...
<p>Univariable and Multivariable Models predicting Overall Survival (n = 1935).</p
<p>Univariate and multivariate cox regression models for the prediction of 30-day mortality.</p
<p>The models follow the equations, , where κ represents adult survival (κ = 0.98 in curves shown he...
Calibration curve of the final model in the elderly subset (≥ 75 years) of the validation cohort.</p
Modelled using flexible parametric models including diagnosis, age, gender and diagnosis by gender i...
<p>Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, p...
<p>Univariate Model Fits for Average Poor Mental Health Days and Average Poor Physical Health Days.<...
Stochastic modeling of mortality rates focuses on fitting linear models to logarithmically adjusted ...
<p>Number of deaths and excess hazard ratio (EHR) in ‰ compared to November (95% confidence interval...
Modelled using flexible parametric models including diagnosis, age, gender and diagnosis by gender i...
<p>*Model adjusted on previous heart disease and gender.</p><p>Associations between age (>70 vs<70) ...
<p>Univariate and multivariate Cox regression models to predict 28-day mortality.</p
Predictive multivariate regression model of mortality, age and outcomes in studied patients.</p
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